JP7083288B2 - Contribution estimation device - Google Patents

Description

The present invention relates to a contribution estimation device that estimates the contribution of a user who has performed a predetermined activity to a predetermined group or organization.

Conventionally, a device has been proposed for quantifying the activities carried out by the user by recording the volunteer activities carried out by the user and converting the history of the carried out activities into points (see Patent Document 1 below). In the apparatus proposed in Patent Document 1, the activity performed by the user is quantified based on the points preset according to the type of activity. For example, it is set to 12 points for weeding and 38 points for removing snow from the roof. It is said that points are set in consideration of the content of activities, labor volume, risk level, skill level, and the like.

Japanese Unexamined Patent Publication No. 2004-199398

The points set as described above are set based only on the subjective judgment of a specific person or organization (setter), and do not take into consideration the judgment of the user who uses the system. That is, with this method, it is difficult to appropriately estimate the degree of contribution that is appropriate for the user. On the other hand, instead of using points set uniformly according to the type of activity, the evaluator who evaluates the activity makes a quantitative evaluation for each activity of the user, and integrates the individual evaluations to improve the degree of contribution. It is possible to calculate. However, it is not always the case that each evaluator makes a correct judgment on how effective a given activity is in a given area (how much it should be evaluated). Therefore, in this method, the evaluation by each evaluator is not always appropriate, and the contribution of the user may not be estimated appropriately.

The present invention has been made in view of the above, and provides a contribution estimation device capable of appropriately evaluating a user's activity and estimating the contribution of the user to a predetermined group or organization. The purpose.

In order to achieve the above object, the contribution estimation device according to the present invention is a contribution estimation device that estimates the contribution of a user who has performed a predetermined activity to a predetermined group or organization, and is an evaluator. The evaluation information acquisition department that acquires evaluation information including information indicating a user and a user who is the implementing party, and information indicating a quantitative evaluation by the evaluator for the activities of the implementing party, and the area where the activities of the implementing party were performed. The existence status information acquisition unit that acquires the existence status information for each user, which indicates the situation in which the user including the evaluator and the implementing party existed in the area including the place other than the place where the activity was performed, and the evaluation. It includes an evaluation information acquired by the information acquisition unit and a contribution estimation unit that estimates the user's contribution based on the existence status information acquired by the existence status information acquisition unit.

In the contribution estimation device according to the present invention, the contribution of the user is estimated based on the existence status information of the user in the area where the activity is performed, in addition to the evaluation information. Therefore, the evaluation information can be appropriately reflected in the degree of contribution of the user. That is, according to the contribution estimation device according to the present invention, the activity of the user can be appropriately evaluated and the contribution of the user to a predetermined group or organization can be estimated.

According to the present invention, the evaluation information can be appropriately reflected in the contribution of the user, the activity of the user can be appropriately evaluated, and the contribution of the user to a predetermined group or organization can be estimated.

It is a figure which shows the structure of the contribution degree estimation apparatus which concerns on embodiment of this invention. It is a figure which shows the screen for inputting the evaluation information. It is a figure which shows typically the example of the time in the area considering a specific base. It is a graph which shows the time decay of the time in the category. It is a figure which shows the graph structure of a PageRank algorithm. It is a figure which shows the matrix generated based on the evaluation information. It is a figure which shows the evaluation relationship between users. It is a figure which shows the matrix generated based on the existence situation information. It is a figure which shows the example of the weighting matrix at the time of calculating the contribution degree. It is a flowchart which shows the process executed by the contribution estimation apparatus which concerns on embodiment of this invention. It is a figure which shows the scenario in the simple evaluation. It is a graph which shows the degree of contribution for each user calculated in the simple evaluation. It is a figure which shows the example of the evaluation (declaration) relationship and objective degree between users. It is a figure which shows the hardware composition of the contribution estimation apparatus which concerns on embodiment of this invention.

Hereinafter, embodiments of the contribution estimation device according to the present invention will be described in detail together with the drawings. In the description of the drawings, the same elements are designated by the same reference numerals, and duplicate description will be omitted.

FIG. 1 shows the contribution estimation device 10 according to the present embodiment. The contribution estimation device 10 is a device (system) that estimates the contribution to a predetermined group or organization of users who have performed a predetermined activity. The contribution estimation device 10 estimates the contribution for each region. The area that is the unit for estimating the degree of contribution is set in advance, and is, for example, a city, ward, town, or village. In addition, the contributions of those regions may be integrated to estimate the contributions of a larger region, for example, by prefecture. Further, with respect to the regions that are the units for estimating the degree of contribution, regions that are different from each other may overlap. In addition, prefectures and municipalities may coexist in the area that is the unit for estimating the degree of contribution. In addition, the area that is the unit for estimating the degree of contribution is not limited to the division of local governments as described above, and may be any area. For example, the area used as the unit for calculating the degree of contribution may be an area divided in a mesh shape.

In the present embodiment, the contribution estimation device 10 estimates the contribution of the user to the local community. Activities that contribute to the local community include activities that improve the local community, such as picking up trash and greeting campaigns. The group or organization to which the contribution is made is not limited to the local community, but may be a company, a sports team, or the like. Also, the user's activities related to contributions are not limited to those described above.

The degree of contribution estimated by the degree of contribution estimation device 10 is used, for example, to give an incentive (reward) to the user. Specifically, points that can be used as currency (for example, electronic money, local currency (virtual currency)) may be given to the user according to the degree of contribution. Further, what is given to the user is not limited to points, but may be a discount ticket (coupon ticket), a right to use a specific facility or a service, or the like. In addition, by presenting the ranking of the degree of contribution to the user, the user may be given a sense of accomplishment that the contribution activity has been carried out. By using the degree of contribution as described above, it is possible to activate contribution activities to the local community. The calculated contribution may be used for purposes other than the above.

As will be described later, the contribution estimation device 10 estimates the contribution of the user based on the history of evaluations related to activities from other users. The contribution estimation device 10 is realized by, for example, a server device. Further, the contribution estimation device 10 may be realized by a plurality of server devices, that is, a computer system. The contribution estimation device 10 can transmit and receive information to and from the external device 20 which is a device used by the user via a mobile communication network or a communication network such as the Internet. The contribution estimation device 10 transmits / receives information related to the present embodiment such as information related to the above evaluation to / from the external device 20.

Specifically, the external device 20 is a terminal such as a mobile phone, a smartphone, or a PC (personal computer). The external device 20 is usually possessed by each user. The function according to the present embodiment in the external device 20 described later may be realized by a dedicated application (application) installed in the external device 20. When the app is used, an account for each user to use the app is generated. In order to prevent the creation of a plurality of accounts by the same user, the same user may be detected by telephone number authentication or the like. Log in with the account and use the app. The account can be used as a person identifier which is a user's identifier as described later. Details will be described together with the function of the contribution estimation device 10. In addition, the function according to this embodiment may be realized other than the above-mentioned application.

Subsequently, the function of the contribution estimation device 10 according to the present embodiment will be described. As shown in FIG. 1, the contribution estimation device 10 includes an evaluation information acquisition unit 11, an existence status information acquisition unit 12, and a contribution estimation unit 13.

The evaluation information acquisition unit 11 has a function of acquiring evaluation information including information indicating a user who is an evaluator and a user who is an implementer (executor), and information indicating a quantitative evaluation by an evaluator for the activities of the implementer. It is a department. The evaluation information may include information indicating the time of the activity, for example, the time when the activity was performed. The evaluation information may include information indicating the area where the activity was performed.

Specifically, the evaluation information includes a person identifier of a user who is an evaluator, a person identifier of a user who is an implementing party, a region identifier, a date and time identifier, and an evaluation value. The person identifier is information that identifies a user, and is, for example, given to each user in advance. Specifically, the account of the above-mentioned application can be used as a person identifier. The area identifier is information that identifies the area. The area identifier is given to each area in advance, for example. As the area identifier, for example, a national local government code (for example, a city code if the area is a city) or a standard area mesh code can be used. The regional identifier included in the evaluation information is the regional identifier of the region where the activity was performed by the implementing party. The date and time identifier is information that identifies the time (here, the date and time) related to the activity. For example, the date and time identifier is information that identifies the time when the activity took place. However, the date and time identifier may be any information as long as it indicates the time related to the activity, and may not necessarily be the information indicating the time when the activity was performed, as will be described later.

The evaluation value is information indicating a quantitative evaluation by the evaluator for the activities of the implementing party. For example, the evaluation value may be the amount of transfer (donation) of points from the evaluator to the implementing party. In this aspect, one user may be able to evaluate others only for the points he or she has. The more points that are transferred, the higher the evaluation of the activities of the implementing party by the evaluator.

The points may be treated as a value exchange medium that can be exchanged for other values. At this time, the act of transferring points that can be exchanged for other values is caused by the desire to evaluate the other party, although oneself loses. Therefore, it can be expected that the user will be prompted to determine the evaluation value (transfer amount) based on the content of the activity more accurately. The points here may be the same as or different from the points given as the incentives described above. It should be noted that the acquisition of the evaluation value does not necessarily have to be performed by transferring points as described above, and may be acquired by any method other than the above.

The evaluation information acquisition unit 11 receives and acquires evaluation information from, for example, the external device 20. The transmission of the evaluation information to the contribution estimation device 10, that is, the evaluation of the activity is performed as follows by using, for example, the above-mentioned application.

For example, evaluation information is acquired when an evaluator requests an activity from an unspecified other person. In this case, the evaluator requests an unspecified number of people to carry out local activities that they want others to carry out through the Internet or the like. For example, the request information that can be displayed in each external device 20 as shown in FIG. 2A is transmitted to the contribution estimation device 10. At that time, the evaluator defines the number of thank-you points based on the detailed content of the activity. For the evaluator, this activity is regarded as an activity equivalent to this amount of points. The information of the request from the evaluator includes at least the person identifier of the evaluator, the area identifier, and the number of points which is the evaluation value.

When the implementing party who accepts this request completes the implementation of the activity, it sends a message to that effect to the contribution estimation device 10 and receives a thank-you point. For example, the implementing party presses the "accept" button shown in FIG. 2 (a) to transmit the information. The information transmitted at this time includes the person identifier of the implementing party. The date and time identifier may be included in the information of the request from the evaluator (in this case, for example, the information indicating the time of the request to carry out the activity), or is included in the information transmitted from the implementing party. It may be (in this case, for example, information indicating the time when the activity was carried out). The evaluation information acquisition unit 11 receives a series of these pieces of information from the external device 20 of the evaluator and the implementing party as described above, and acquires the evaluation information.

Also, assuming that requests for the same activity are made by multiple different people, request information (for example, images included in the request information, request content, location, and whether each request indicates the same activity) Judging from the information such as the date and time), it may be considered that the implementing party who carried out a certain activity also accepted the request for the same activity as the activity at the same time. In addition, the evaluator may add his / her own thank-you points to the request from another person that has already been made when the content that he / she wants to request has already been requested by another person. In these cases, the implementing party may be considered to have accepted requests from multiple persons at the same time. That is, a plurality of evaluation information with different evaluators may be acquired for one report (one activity information) from the implementing party.

Further, for example, evaluation information is acquired by the implementing party reporting the activity prior to the evaluation from the evaluator. In this case, the implementing party reports its own activities for the area to an unspecified number of people via the Internet or the like. For example, the information of the report that can be displayed in each external device 20 as shown in FIG. 2B is transmitted to the contribution estimation device 10. The information in the report from the implementing party includes at least the implementing party's person identifier, region identifier, date and time identifier (eg, information indicating the time when the activity was performed).

The evaluator who sees this report can give a thank-you point for the activity. For example, the evaluator presses the "thank you" button shown in FIG. 2B to send the information. The information transmitted at this time includes the person identifier of the evaluator and the number of points which is the evaluation value. At this time, the evaluator considers this activity to be an activity equivalent to receiving points of this amount. The evaluation information acquisition unit 11 receives a series of these pieces of information from the external device 20 of the evaluator and the implementing party as described above, and acquires the evaluation information. The number of evaluators may be multiple. When there are a plurality of evaluators, a plurality of evaluation information for each evaluator is acquired.

Further, in the request shown in FIG. 2 (a), the evaluator does not define the number of thank-you points, only the request is made to an unspecified user, and the user who accepts the request is as shown in FIG. 2 (b). You may report to and receive evaluations from an unspecified number of users, including the original evaluator. Also at this time, as described above, there may be a plurality of evaluators, and when there are a plurality of evaluators, a plurality of evaluation information for each evaluator is acquired.

In any of the above examples, it is assumed that a plurality of implementing parties cooperate to resolve one request. In that case, a plurality of evaluation information from different implementing parties may be acquired for the information related to one activity. At that time, the number of points defined by the evaluator is distributed to the implementing parties according to the preset rules (for example, evenly distributed).

It should be noted that the acquisition of the evaluation information does not necessarily have to be performed as described above, and may be acquired by any method other than the above. The evaluation information acquisition unit 11 acquires evaluation information among a plurality of users as described later in order to appropriately estimate the degree of contribution. The evaluation information acquired by the evaluation information acquisition unit 11 is stored in the contribution estimation device 10 and used by the contribution estimation unit 13.

The existence status information acquisition unit 12 acquires the existence status information for each user, which indicates the situation in which the user exists in the area where the activity of the implementing party was performed and the area other than the place where the activity was performed. It is a functional part to do. The existence status information acquisition unit 12 may acquire the existence status information of the user according to the type (for example, home, workplace, etc.) of the position where the user was present in the area where the activity of the implementing party was performed. .. The existence status information acquisition unit 12 may acquire the existence status information of the user according to the movement (for example, the purpose or means of the movement) of the user in the area where the activity of the implementing party is performed. The existence status information acquisition unit 12 may acquire the existence status information of the user according to the time when the user was present in the area where the activity of the implementing party was performed. In the above, the existence status information is described as information related to the area where the activities of the implementing party were performed, but in reality, the existence status information is independent of the user's activities as follows. May be obtained.

The existence status information is information indicating how much the user was present in which area. Existence status information is basically information based on the time the user has been in the area. It can be considered that the longer the user has existed in the area, the more knowledge and experience the area has, and the more he / she understands the issues in the area. Therefore, the existence status information can be regarded as the degree of grasping the problem in the area of the user. It is considered that a user who has a high degree of understanding of issues in a certain area can appropriately evaluate what kind of activities contribute to the area in the area. Therefore, evaluation by a user who has a high degree of understanding of issues in a certain area is considered to be highly appropriate because it can appropriately evaluate the activities carried out in the area, and the activities carried out in the area evaluated by the user are carried out. The parties consider the contribution in the area to be high. In addition, a user who has a high degree of understanding of issues in a certain area is considered to have contributed to the area through activities to acquire knowledge and experience in that area, and the user is considered to have a high degree of contribution in the area. In addition, it is said that a user who has a high degree of contribution in a certain area, which is derived from the above idea, can appropriately evaluate the activities carried out in the area, and the activities carried out in the area evaluated by the user are carried out. The parties consider the contribution in the area to be high. In this embodiment, the degree of contribution of the user is estimated based on the above idea. The activities to be evaluated are usually carried out in a specific place in the area. From the above point of view, the area related to the existence status information shall be wider than the place where the activity can be carried out. That is, the area related to the existence status information shall be an area where the activities of the implementing party can be carried out as described above and include areas other than the places where the activities can be carried out.

The existence status information acquisition unit 12 acquires the existence status information for each region of a user who can be at least one of the evaluator and the implementing party (for example, a user using the above application). Specifically, the existence status information acquisition unit 12 acquires the existence status information of each user and region as follows.

The existence status information acquisition unit 12 acquires position information indicating the position of the user and time information (for example, a date and time identifier) indicating the time at the position for each user. The location information includes, for example, a GPS (Global Positioning System) function or a base station positioning function provided in a mobile terminal (which may be the same as the external device 20) such as a mobile communication terminal carried by a user. The latitude and longitude obtained by is used. The positioning of each mobile terminal may be performed by the contribution estimation device 10 instead of the mobile terminal itself. The existence status information acquisition unit 12 acquires periodic position information and time information (for example, information every minute). Further, as the position information, information other than latitude and longitude may be used. For example, as the location information, information indicating the base station of the communication carrier in which the mobile terminal is located may be used.

The existence status information acquisition unit 12 calculates the user's service time in the area from the above location information. The service area time indicates the time when the user exists in the area for which the existence status information is calculated. The time spent in the service area includes the staying time and the traveling time. The staying time indicates the time during which the user stays at a specific base for a certain period of time. The travel time is the time obtained by subtracting the staying time from the service time. That is, the fact that the user is in a specific area means that the user is in a state of staying or moving in the specific area.

The existence status information acquisition unit 12 stores the location information related to the area in advance in the form of a shape file or the like, and based on the information and the user's location information, the user in the region to which the existence status information is calculated is calculated. Judge the territory of. Further, the existence status information acquisition unit 12 determines whether or not the user is located within a range of a certain distance for a predetermined time or more, and determines the stay of the user.

The existence status information acquisition unit 12 may calculate the in-service time from the position information and acquire the calculated in-service time as the existence status information. The location information used to calculate the time spent in the service area may be all location information of the user (over the entire past period), or location information in a certain time range (for example, location information for the past year). It may be. Since it is difficult to constantly observe the position information of all users, it is expected that a missing value will occur during the service area time. Therefore, for the missing time in the service area, an appropriate value may be set by interpolation processing or the like based on the information of the acquired period.

Further, the existence status information acquisition unit 12 does not necessarily have to calculate and acquire the user's service area time from the position information. For example, the existence status information acquisition unit 12 may receive and acquire information indicating the area time of the user's area from the external device 20 as existence status information. Alternatively, the existence status information acquisition unit 12 may predict the user's service area time based on the user information. For example, using user data such as age, gender, home address, work address, etc., and user data for which information indicating the time spent in the area can be obtained, the user information is used as an explanatory variable and the time spent in the area is used as an objective variable. You may build a predictive model by performing supervised learning. The existence status information acquisition unit 12 may acquire user information related to an arbitrary user and predict the service area time using the learned prediction model.

The existence status information acquisition unit 12 may calculate the following values from the viewpoint of the degree of grasping the problem and acquire them as the existence status information, instead of simply the time spent in the service area as described above. The existence status information acquisition unit 12 may exclude the time spent at a specific base such as the user's home or work from the time spent in the service area. That is, the existence status information acquisition unit 12 may acquire the existence status information with the total of the staying time and the traveling time of the bases other than the specific base as the service time. FIG. 3 shows an example of the time spent in the service area considering a specific base. In FIG. 3, the circle indicates the base where the user stayed, and the arrow indicates the position where the user moved. The time spent in the area indicated by the broken line in FIG. 3 is defined as the time spent in the area A for which the existence status information is calculated.

For example, it is assumed that one day's behavior of a user is home (region X related to existence status information) → workplace (region X) → home (region X). Considering simply whether the person was in the area X, the time in the area X of this person is 24 hours. However, at least during the time spent at a specific base such as home or work, knowledge about local issues does not increase, and it is considered that the area is separated from the area. Therefore, as described above, the processing may be performed excluding the staying time of the specific base. Even if it is a place other than home or work, the time spent in the area that is not considered to be related to local issues (for example, convenience store) is excluded from the time spent in the area as well as at home or work. May be good. On the contrary, it does not exclude the time spent in the area that is supposed to be related to local issues such as parks and tourist spots.

In order to realize the above, the existence status information acquisition unit 12 stores in advance a parameter indicating whether or not to include the staying time of the base in the service area time for each base (location). For example, for each base, it is set to 1 if a predetermined base is included in the service time, and 0 if it is not included. This setting may be set for each user. Further, the weight may be set for each base. For example, if it is clear from external information that problems often occur in a specific park, the weight for the park should be increased compared to the weight for bases other than the park, and the staying time in the park should be increased. However, the time spent in the area may be increased.

Further, the existence status information acquisition unit 12 may weight the movement within the service area time based on at least one of the movement purpose and the movement means. As a method of specifying the purpose of movement, there is a method of considering the user's position as a specific purpose of movement when the user's position is transferred (moved) from a specific base to a specific base by referring to the information of the base. For example, moving from home to work is commuting, and moving from work to home is leaving work. At this time, for example, if traveling for the purpose of tourism leads to the discovery of local issues rather than traveling for the purpose of commuting, tourism gives a large weight to the travel time for the purpose of travel and sets the travel time. It may be increased so that the commuting time becomes longer. The purpose of movement may be specified by a method other than the above.

As a method of specifying the means of transportation, there is a method of calculating the speed of movement based on the length (distance) of the transition (movement) of the user's position and the time required for the transition, and classifying the means of transportation from the speed. .. For example, if the speed is 5 km / h, it is a walk, and if it is 20 km / h or more, it is a car or the like. At this time, for example, if the travel time traveled by walking is strongly considered compared to the travel time traveled by car, that is, walking travel leads to the discovery of regional issues rather than traveling by car. If this is the case, the walking may give a large weight to the moving time of the means of transportation to increase the moving time and increase the time spent in the area. The means of transportation may be specified by a method other than the above.

Further, the existence status information acquisition unit 12 may attenuate the time spent in the service area according to the time in which the user was in the service area. Even if you are in the area for the same length of time, it is thought that those who are in the area closer to the time when the contribution is estimated (for example, the current time) have a better understanding of the issues in the area. Be done. For example, as shown in Fig. 4, as of July 2018, with person A who lived in a specific area for one year from July 2017 to June 2018, and from July 2000 to June 2001. Consider person B who lived in a specific area for a year. A person who has a good grasp of the area as of July 2018 is considered to be A who most recently lived in the area. That is, it is assumed that the person who has a good grasp of the problem at a certain time is the person who has been in the area for a longer time in the past near the time.

For example, the existence status information acquisition unit 12 attenuates the time spent in the service area as follows. It is assumed that the time spent in the area for which the daily existence status information of each user is calculated can be acquired. The existence status information acquisition unit 12 defines the UNIX time of 00:00:00 on the current date as T, and Tk (Tk + 86400 ≦) the UNIX time indicating 00:00:00 of each day related to the time in the zone. T). Here, k is an index indicating the date of each day related to the time spent in the service area. Let Sk be the time spent in the service area from Tk to Tk + 86400 (after 24 hours have passed from the time of Tk).

The existence status information acquisition unit 12 calculates the in-service time Σ {Sk / (T-Tk) ^a } in which the in-service time is attenuated according to the time as a new in-service time. Here, a (> 0) is a preset parameter, and the closer it is to 0, the less time attenuation is taken into consideration. Further, the calculation formula does not have to be the above one as long as time attenuation can be taken into consideration (that is, when the function shown in FIG. 4 is monotonically increasing). Further, in the above example, the time is represented by UNIX time and is handled in units of one day. However, the time representation and unit are not limited to the above. For example, the unit may be treated as an arbitrary unit such as a monthly unit or a year unit. However, time attenuation is taken into consideration regardless of the unit.

The existence status information for each user acquired by the existence status information acquisition unit 12 is stored in the contribution degree estimation device 10 and used by the contribution degree estimation unit 13.

The contribution estimation unit 13 is a functional unit that estimates the user's contribution based on the evaluation information acquired by the evaluation information acquisition unit 11 and the existence status information acquired by the existence status information acquisition unit 12. The contribution estimation unit 13 graphically represents the evaluation relationship between users based on the evaluation information and the existence status information, and performs graph structure analysis on the graph to estimate the contribution of the user. The contribution estimation unit 13 may estimate the contribution of the user based on the time of the activity. The contribution estimation unit 13 may estimate the contribution of the user based on the area where the activity is performed.

The present inventor has found that an algorithm for scoring a Web page can be used to estimate the degree of contribution to a user's actual activity. Based on that finding, the contribution estimation unit 13 allocates each of a plurality of users to the rows and columns of the matrix based on the evaluation information, and generates a matrix having a value indicating a quantitative evaluation as an element value. A matrix whose element value is a value corresponding to the existence status information of the user is generated, and the contribution degree of a plurality of users is calculated from the generated matrix. The contribution estimation unit 13 calculates the contributions of a plurality of users by the PageRank algorithm. As shown in FIG. 5A, the PageRank algorithm regards the link relationship of Web pages as a graph structure and assigns a score to each Web page.

The PageRank algorithm is based on the assumption that pages linked from many good pages are also good pages. Based on that premise, how good the page is is calculated as a score. The calculated score is expressed as a ratio to a certain value. Generally, the score is calculated so that the total score of each node (page) is 1 (each score X is expressed by 0 ≦ X ≦ 1).

The PageRank algorithm and the present embodiment correspond as follows. Pages, links and good quality in the PageRank algorithm correspond to contributing to the person (user), rating and region, respectively. As shown in FIG. 5B, in the present embodiment, a graph is constructed from the evaluation relationship between users, graph structure analysis is performed, and a score (contribution degree) for each user is calculated. Further, as will be described later, a PageRank algorithm considering the importance of each node (page) has been conventionally proposed. Also in this embodiment, the conventional page rank algorithm considering the importance of each node (page) is used. The importance of each node corresponds to the existence status information of each user.

Specifically, the contribution estimation unit 13 estimates the contribution of the user as follows. The estimation of the degree of contribution is carried out for each region, that is, for each region identifier Pi (where i is an index of the region identifier P). The contribution estimation unit 13 allocates each user to each row and column of the matrix, and generates a matrix having the evaluation value of the evaluation information related to the area identifier Pi as an element value. For example, assign the user who is the implementing party to the row and the user who is the evaluator to the column. The user to be assigned may be, for example, all users to whom the person identifier is assigned, or may be a user who has been either an implementing party or an evaluator in the area. If the number of users to be assigned is n, an n × n matrix assigned to rows and columns by each user is generated. When there is no evaluation information from a certain user to a certain user, the value of the corresponding element in the matrix is set to 0. An example of the matrix is shown in FIG. 6 (a). Further, FIG. 7 shows an evaluation relationship between users corresponding to the matrix of FIG. 6 (a). In FIG. 7, each circle represents a user, and the number in the circle indicates a person identifier. The arrow in each circle represents an evaluation, indicating that the original user of the arrow is evaluating the activity of the user at the end of the arrow. The numerical value indicated by the arrow is the evaluation value. When there are a plurality of evaluation information having the same combination of the evaluator and the implementing party in the evaluation information related to the area identifier Pi, the total value of the evaluation values of the evaluation information may be used as the element value.

Further, a user who has never been a party to implement may be excluded from the contribution estimation target, and the contribution of the user may be set to 0. In that case, the user is not assigned to any of the above rows and columns. Further, the evaluation value may be attenuated as the evaluation is in the past by referring to the date and time identifier of the evaluation information. The attenuation process is performed, for example, based on a preset function. This means that when a person A who received an evaluation value of 100 one year ago and a person B who received an evaluation value of 100 one day ago exist, the evaluation of the person B is prioritized. That is, from the viewpoint of the degree of contribution at the present time, it is based on the idea that the evaluation value one day ago should be prioritized over the evaluation value one year ago.

Subsequently, the contribution estimation unit 13 divides the element value of the column by the sum of the element values of the columns, excluding the columns in which all the element values are 0, with respect to the generated matrix, so that the total value of each column is obtained. Normalize so that is 1. An example of the normalized matrix is shown in FIG. 6 (b). This is for probabilistically expressing at what ratio the evaluation value (contribution degree) possessed by a certain evaluator should be propagated to the implementing party evaluated by the evaluator. It is based on the idea that more evaluation values possessed by the evaluator should flow into the user who collects a lot of evaluation values from an evaluator.

Subsequently, the contribution estimation unit 13 replaces the element values of the columns in which all the element values are 0 with 1 / n with respect to the generated matrix to obtain the matrix S. Here, n is the number of users to be allocated. An example of the matrix S is shown in FIG. 6 (c). In order to avoid the problem that the evaluation value of the person who is not evaluated by anyone is high, the person who is not evaluated by anyone is considered to evaluate all the nodes equally. If the matrix after normalization does not have a column in which all the element values are 0, the above-mentioned matrix after normalization is defined as the matrix S.

The contribution estimation unit 13 takes the weighted sum of the calculated matrix S and the matrix E described later by the following equation. The matrix E shows the importance of each node. Using the matrix G generated by the weighted sum, a score corresponding to the contribution of the user is calculated.
G = αS + (1-α) E

When all the nodes should be treated uniformly, the element values of all the elements of the matrix E are set to 1 / n. Α, which is defined in the range of 0 to 1, is a preset parameter indicating how important the importance of each node should be considered. In the above equation, the smaller α is, the more important it is considered for each node.

The contribution estimation unit 13 defines an initial score vector x (0) (a vector in which the number of dimensions is n nodes) in which the contributions of all the nodes are 1 / n, and calculates the contributions by the power method. The contribution estimation unit 13 repeats the calculation of x (i + 1) ← Gx (i) a plurality of times. The contribution estimation unit 13 calculates the difference between x (i + 1) and x (i) (for example, the Euclidean distance), and when it approaches 0 infinitely (for example, it becomes equal to or less than a preset threshold value). When), that is, when x such that x = Gx is found, that x is regarded as the degree of contribution for each user.

While creating the matrix S, the contribution estimation unit 13 generates the matrix E based on the time in the service area, which is a value indicated by the existence status information. Specifically, by setting the n × n matrix (n = number of nodes) in which the vector v indicating the importance of each node is the column vector of each column as the matrix E, the difference in the importance of each node is taken into consideration. The node. Here, the sum of the element values of the vector v is 1.

In the present embodiment, the contribution estimation unit 13 uses an n × n matrix in which the value of the service area time of each user to be allocated described above indicated by the existence status information is a vector v and the vector v is a column vector of each column. To generate. The contribution estimation unit 13 generates the matrix E by dividing the element value of the column by the sum of the element values of each column of the matrix so that the total value of each column becomes 1. That is, it is normalized so that the sum of the element values of the vector v becomes 1. An example of the generation of the matrix E is shown in FIG. By calculating the degree of contribution with the PageRank algorithm based on the matrix E generated with the time in the service area as the vector v, the parties who carry out the activities performed in the area evaluated by the users who have a high degree of understanding of the problems in the area. Is considered to have a high degree of contribution in the area, and a user who has a high degree of understanding of issues in a certain area is considered to have a high degree of contribution in the area, and is evaluated by a user who has a high degree of contribution in the area. Parties who carry out the activities carried out in the area are considered to have a high degree of contribution in the area.

The contribution estimation unit 13 uses the element value of the contribution x described above as the contribution in the regional identifier Pi of each user. The degree of contribution calculated as described above indicates that the larger the value, the greater the degree of contribution. The contribution estimation unit 13 may integrate the contributions (partial contributions) calculated for each region identifier Pi by weighting the plurality of region identifiers Pi and adding them together. For example, the degree of contribution may be calculated for each prefecture from the degree of partial contribution calculated for each city, ward, town, or village. A parameter (weight vector) indicating the weight for each region identifier Pi is set in advance. For example, all region identifiers may be treated the same, or the weight may be changed for each region identifier. Specifically, the regional identifiers of each user are added by multiplying the partial contributions x _p1 , x _p2 , and x _p3 of the regional identifiers P1, P2, and P3 by the same weight of 0.33. Calculate the degree of contribution in the area where the areas of P1, P2, and P3 are integrated.

The above weight vector may be determined depending on the region identifier and the application (application). As an example, if the area identifier is for each city code and the application calculates the contribution for each prefecture, consider the partial contribution of the area identifier for the city that belongs to that prefecture. Weight vector should be defined.

In order to match the scale of the contribution degree finally calculated, that is, to set the total value of the contribution degree of all users to 1, the element value is divided by the total element value of the weight vector to obtain the weight vector. It may be normalized so that the total value of the element values becomes 1.

Further, the calculation of the partial contribution degree may be performed for each date and time identifier in addition to each area identifier. When calculating the partial contribution of the region identifier Pi and the date and time identifier Tj, the evaluation information and the existence status information corresponding to the region identifier Pi and the date and time identifier Tj are used (where j is an index of the date and time identifier T). ). The date and time identifier Tj here may have a certain range including a plurality of date and time identifiers in the evaluation information and the existence status information. Further, since the difference in the date and time identifier can be taken into consideration when integrating the partial contributions, the above-mentioned time attenuation may not be taken into consideration when calculating the service area time. The partial contribution calculated by this process is the contribution for each region identifier and each date and time identifier.

At this time, when the final contribution is calculated by integrating each partial contribution, a parameter indicating the weight for each date identifier may be used. The weighting of the region identifier and the date and time identifier may be freely performed according to the application. The above parameters are defined by the weight matrix. An example of the weight matrix is shown in FIG. In FIGS. 9A and 9B, each column indicates a region identifier and each row indicates a date and time identifier. Also, the higher the line, the newer the time. The numerical value of each cell in FIG. 9A is a value indicating the weight. The size of the circle in FIG. 9B indicates the weight. In FIG. 9, the partial contributions of the area identifier and the date and time identifier corresponding to the hatched squares or circles are used to calculate the final contribution.

For example, when weighting the date and time identifier as shown in (1) of FIG. 9 (a), the time attenuation of the above-mentioned service area time is taken into consideration. On the other hand, as shown in (4) and 9 (b) of FIG. 9 (a), it is also possible to weight and integrate only the partial contribution of an arbitrary date and time and region. This corresponds to, for example, calculating the degree of contribution of the user in consideration of the weight of the activity carried out at a specific time and in a specific area.

In order to match the scale of the contribution degree finally calculated, that is, to set the total value of the contribution degree of all users to 1, the element value of the weight matrix is divided by the total element value of the weight matrix. It may be normalized so that the total value of the element values becomes 1. If the area or date and time for which the contribution degree is estimated matches the area or date and time related to the above partial contribution degree, the partial contribution degree may be used as it is as the final contribution degree.

The contribution estimation unit 13 outputs the calculated contribution for each user to a module or device that gives points to the user. The contribution output may be performed by other methods.

The incentive according to the degree of contribution may be given by the degree of contribution estimation device 10. For example, when a total of 1000 points are distributed according to the degree of contribution, each user is given points in the amount obtained by multiplying the degree of contribution of each user by 1000 points (however, 0 ≦ degree of contribution ≦). In case of 1). In addition to the above, the incentive may be a discount voucher (coupon voucher), the right to use a specific facility or a service, or the like, as described above. In either case, each user is given a quantity or quality incentive according to the degree of contribution.

As described above, in the estimation (calculation) of the degree of contribution, the time may be attenuated so that the past evaluation and the time spent in the service area are less likely to affect the degree of contribution when viewed from the time of evaluation (for example, the current time). If the evaluation and the time spent in the service area are to be attenuated, it is necessary to maintain a high degree of contribution in order to continue to receive incentives. In order to maintain a high degree of contribution, at the time of evaluation, one must be a user who has a good understanding of regional issues, or a user who has a good understanding of regional issues must continue to be evaluated. That is, the provision of incentives based on the degree of contribution gives the user motivation to continuously carry out activities to gain knowledge and experience in the area or activities that are evaluated by others.

The existence status information acquisition unit 12 may calculate the time spent in the service area and the contribution estimation unit 13 may estimate the contribution degree at a timing set in advance in the contribution degree estimation device 10, or the contribution degree estimation device. The operation may be performed by the operation of the administrator of 10 to the contribution estimation device 10 as a trigger. The above is the function of the contribution estimation device 10 according to the present embodiment.

Subsequently, the process executed by the contribution estimation device 10 according to the present embodiment (operation method performed by the contribution estimation device 10) will be described with reference to the flowchart of FIG. In this process, the evaluation information acquisition unit 11 acquires the evaluation information (S01). Further, the existence status information acquisition unit 12 acquires the existence status information for each user (S02). Subsequently, the contribution estimation unit 13 estimates and outputs the contribution of the user based on the evaluation information and the existence status information (S03). The above is the process executed by the contribution estimation device 10 according to the present embodiment.

The contribution degree estimation device 10 according to the above-described embodiment estimated the contribution degree using dummy data, and a simple evaluation of the present embodiment was performed. In this simple evaluation, the following scenarios as shown in FIG. 11 are assumed. It is assumed that the number of users is 7 (person identifiers 0 to 6) and 3 areas (regional identifiers P1 to P3). One user who has a long service time is set for each area identifier. In FIG. 11, each circle represents a user, the number in the circle indicates a person identifier, and the size of the circle indicates the time spent in the service area (the larger the circle, the longer the time spent in the service area). .. The arrow in each circle represents an evaluation, indicating that the original user of the arrow is evaluating the activity of the user at the end of the arrow. The numerical value indicated by the arrow is the evaluation value.

The activity performed by the user of the person identifier 1 is evaluated in all areas by the user who has been in the area for a long time. That is, it can be considered that the activity performed by the user of the person identifier 1 solves the problems in all the regions. Further, the user of the person identifier 2 is evaluated by the user of the person identifier 1 in all areas. From the above conditions, the user who has been in the area for a long time for each region identifier, the user of the person identifier 1 evaluated by the user, and the user of the person identifier 2 evaluated by the user of the person identifier 1 contribute. It is expected that the degree will be high.

FIG. 12 shows the calculated contribution level for each user. 12 (a) to 12 (c) are the partial contributions of the regional identifiers P1 to P3, and FIG. 12 (d) is the average of the partial contributions of the regional identifiers P1 to P3 (the integrated final contribution). Is. Moreover, the graph for each value of α is shown. When α = 1, E is not taken into consideration, so that it is not included in this embodiment (comparative example).

As expected, the smaller the value of α, the greater the influence of the time spent in the service area. In particular, when α = 0.5, the user with the person identifier 1 evaluated by the user who has been in the service area for a long time in all areas had the highest final contribution. The user of the person identifier 2 who was always evaluated by the user of the person identifier 1 was also able to confirm the tendency of increasing the degree of contribution.

As described above, in the present embodiment, in addition to the evaluation information, the degree of contribution of the user is estimated based on the existence status information of the user in the area where the activity is performed. As described above, the existence status information can be regarded as the degree of grasping the problem in the area of the user. Therefore, the evaluation information can be appropriately reflected in the contribution degree of the user according to the degree of grasping the problem. For example, an evaluation from a user who spends a lot of time in the service area can be greatly reflected in the degree of contribution of the user. Based on these, the contribution of a given user should be quantitatively calculated after considering how much the given activity carried out in the given area should be evaluated in the given area (validity of evaluation). Can be done. That is, according to the present embodiment, it is possible to appropriately evaluate the activity of the user and quantitatively estimate the degree of contribution of the user to a predetermined group or organization.

Further, as in the above-described embodiment, the evaluation relationship between users may be represented in a graph based on the evaluation information and the existence status information, and the graph structure analysis may be performed to estimate the degree of contribution of the user. Further, the matrices S and E may be generated based on the evaluation information and the existence status information (problem grasping degree), and the contribution degree of a plurality of users may be calculated by the page rank algorithm. According to these configurations, the parties who carry out the activities carried out in the area evaluated by the users who have a high degree of understanding of the issues in the area are considered to have a high degree of contribution in the area, and the degree of understanding of the issues in the area is high. Higher users are considered to have a high degree of contribution in the area, and parties who carry out activities conducted in the area evaluated by users with a high degree of contribution in a certain area are considered to have a high degree of contribution in the area. Is done. That is, according to the present embodiment, the degree of contribution can be estimated reliably and appropriately. However, the estimation of the degree of contribution does not necessarily have to be performed as described above, and may be performed by a method other than the above as long as the existence status information is taken into consideration.

Further, as described above, the existence status information may correspond to at least one of the type of the position where the user was present, the movement of the user, and the time when the user was present. According to these configurations, the existence status information can be appropriate for estimating the degree of contribution. However, it is not always necessary to take these into consideration in the existence status information.

Further, as described above, the degree of contribution may be estimated based on at least one of the time of the activity and the area where the activity was performed. According to these configurations, the degree of contribution can be estimated more appropriately.

As mentioned above, by subdividing the area that is the unit of contribution estimation and calculating the contribution by integrating them, the validity of the evaluation of how much the activity should be evaluated at the place where the activity was performed. Is considered more. This is because by subdividing the area, it is possible to more accurately identify which area each user has a good grasp of the problem.

The evaluation information may include information related to the evaluation of oneself. That is, you may assume an evaluation of yourself. However, since the evaluation of oneself does not involve the transfer of value in the above use case (or even if it does, it does not make sense), it is not necessary to consider the evaluation value. In this case, for example, a preset default value may be used as the evaluation value.

Subsequently, a modified example of the present embodiment will be described. The contribution estimation unit 13 calculates the objective degree of the evaluation information acquired by the evaluation information acquisition unit 11 for which the user whose contribution is estimated is the implementing party, and the calculated objective degree is calculated. The contribution of the user may be estimated based on the above. In this case, in the contribution estimation unit 13, among the evaluation information acquired by the evaluation information acquisition unit 11, the user whose contribution is estimated is the implementing party, and the activity related to the evaluation information for which the objective degree is calculated. Based on at least one of the evaluation information about the different activity and the evaluation information about the activity different from the evaluation information related to the evaluation information for which the objective degree is calculated and the user other than the user other than the user whose contribution is estimated is the evaluator. , Calculate the degree of objectiveness. In the above-described embodiment, the degree of contribution is estimated collectively for a plurality of users. The user to be estimated of the contribution degree is a specific user when calculating the objective degree (a specific user who pays attention when calculating the objective degree). The objective degree may be calculated with a plurality of users (for example, all users) as the users whose contribution degree is estimated, and the contribution degree may be calculated using the calculated objective degree.

The objectivity of the evaluation information indicates the degree of objectivity of the evaluation (declaration) related to the evaluation information. That is, the objective degree is the degree to which the evaluation (declaration) related to the evaluation information is genuine (degree of authenticity). The higher the objective, the more the activity indicated by the evaluation information is indeed performed by the implementing party indicated by the evaluation information.

As described above, for example, assuming that points are given to a user's activity, it is conceivable that a false evaluation is performed in order to obtain points even though the activity is not actually performed. The objectiveness in this embodiment is for appropriately handling the correct evaluation.

Of the evaluation information acquired by the evaluation information acquisition unit 11, the contribution estimation unit 13 describes activities that are different from the activities related to the evaluation information for which the user whose contribution is estimated is the implementing party and the objective degree is calculated. The objective degree is based on at least one of the evaluation information of the activity different from the activity related to the evaluation information of the evaluation information and the user other than the user whose contribution degree is estimated, and the evaluation information of the objective degree calculation target. Is calculated. The calculation of the objective degree is performed, for example, based on the evaluation information of the past activities rather than the activities related to the evaluation information of the objective degree calculation target. If the evaluation information does not include the date and time identifier, the objective degree is calculated based on the evaluation information of all activities other than the activity related to the evaluation information for which the objective degree is calculated. May be good.

In addition, the calculation of the objective degree is performed by the user whose contribution degree is estimated, that is, the evaluation information for which the implementing party is the evaluator, and the user other than the user whose contribution degree is estimated, that is, the user other than the implementing party. Is performed by a different calculation method from the evaluation information for which is the evaluator. Regarding the evaluation information for which the implementing party itself is the evaluator, for example, a certain number or more of others have evaluated the activities of the implementing party in the past (corresponding to X described later), and the activities of the implementing party have been performed in the past. The other person who evaluated is not biased to a specific person (corresponding to Y described later), and the number of times the implementing party evaluated his / her own activity in the past is the number of times the other person evaluated the activity of the implementing party in the past. If the number is not so large (corresponding to Z described later), the objective degree of the activity of the implementing party is considered to be high, and the objective degree of the evaluation is considered to be high. FIG. 13 shows an example of the evaluation relationship between users. From the above criteria, for example, the evaluation of User C's own activity is considered to be highly objective.

Regarding the evaluation information in which another person is an evaluator, for example, the other person has evaluated a certain number or more of past activities in the past (corresponding to X'described later), and the other person has acted in the past. If the person evaluated for is not biased toward a specific person including the implementing party (corresponding to Y'and Z'described later), the objectiveness of the evaluation of the other person is considered to be high. From the above criteria, for example, the evaluation of the activity of the user C from the user A in FIG. 13 is considered to have a low degree of objectiveness.

Hereinafter, a specific calculation method of the objective degree will be described. The contribution estimation unit 13 reads out the evaluation information acquired by the evaluation information acquisition unit 11. As described above, the contribution estimation unit 13 uses the evaluation information for the activity different from the activity related to the evaluation information for which the objective degree is calculated to calculate the objective degree.

Regarding the evaluation information in which the user who is the target of the contribution estimation is the evaluator, the contribution estimation unit 13 uses the evaluation information of the contribution estimation target user as the implementing party and the objective degree calculation target. Of the evaluation information for activities different from the related activity, at least one of the evaluation information in which the user other than the user whose contribution is estimated is the evaluator and the evaluation information in which the user whose contribution is estimated is the evaluator. The objective degree is calculated based on this. Based on the above evaluation information, the contribution estimation unit 13 determines the number of others who evaluated the activity of the user whose contribution is estimated, and the number of times when the activity of the user whose contribution is estimated is evaluated by others. The ratio of the number of others who evaluated the activity of the user whose contribution is estimated, and the activity of the user whose contribution is estimated to the number of times that the activity of the user whose contribution is estimated is evaluated by himself / herself. Calculates at least one of the ratios of the number of times evaluated by, and calculates the objective degree of the evaluation information for which the user whose contribution is estimated is the evaluator from the calculated value. The above numbers are unique. For example, if there are two evaluations of B → A for different activities, the number of times that another person evaluates A's activity is two times, but the number of others who evaluate A's activity is one. The same applies to the number of people described later.

上記の式中のｍｉｎ（）は、最も小さい値を関数値とする関数である。上記の式中のｐ，ｑ，ｒは、予め設定されるパラメータである。ｐは、過去に少なくともｐ人以上の他者から活動を評価されていれば、その人物の活動（即ち、評価）には客観性があると定義するパラメータであり、０より大きい（＞０）値とされる。なお、実施当事者自身による活動の評価の客観性は、当該実施当事者による活動の客観性と等しい。ｑには、過去に実施当事者の活動を評価した他者が特定の人物に偏ることを全く許容しない場合には１が設定され、特定の人物に一定の割合で偏ることを許容する場合には０を除く１未満の正の値が設定される。ｒには、過去に実施当事者が自分自身の活動を評価した回数が、過去に他者が実施当事者の活動を評価した回数と比べ多くなることを全く許容しない場合には１が設定され、多くなることを一定の割合で許容する場合には０を除く１未満の正の値が設定される。Ｙ，Ｚの算出の際に式中の分数の分母が０になる場合（０除算時）には、それらのパラメータ（Ｙ，Ｚ）の値を１とすることとしてもよい。 Specifically, the contribution estimation unit 13 calculates the following values X, Y, and Z as values related to the objective degree.

Min () in the above equation is a function whose function value is the smallest value. P, q, and r in the above equation are preset parameters. p is a parameter that defines that the activity (that is, evaluation) of that person is objective if the activity has been evaluated by at least p or more others in the past, and is greater than 0 (> 0). It is a value. The objectivity of the evaluation of the activity by the implementing party itself is equal to the objectivity of the activity by the implementing party. 1 is set in q when it is not allowed to be biased to a specific person at all when others who have evaluated the activities of the implementing party in the past are allowed to be biased to a specific person at all, and when it is allowed to be biased to a specific person at a certain rate. A positive value less than 1 excluding 0 is set. r is set to 1 if the number of times the implementing party has evaluated its own activities in the past is not allowed to be higher than the number of times others have evaluated the implementing party's activities in the past. If it is allowed to be at a certain rate, a positive value less than 1 excluding 0 is set. When the denominator of a fraction in the formula becomes 0 (at the time of division by zero) when calculating Y and Z, the values of those parameters (Y and Z) may be set to 1.

The contribution estimation unit 13 calculates X × Y × Z, and uses the calculated value as the objective degree of the evaluation information. The values calculated in this way indicate that the larger the value, the greater the degree of objectiveness.

In the above formula of X, Y, Z, in order to make the influence of each value uniform, 1 is set when the value exceeds 1, but even if the value exceeds 1, the value is X. , Y, Z may be used as values. Further, the sum of X, Y, and Z may be used as the objective degree instead of the product of X, Y, and Z as described above. Further, when the sum is taken, each value may be weighted in advance. Further, it is not necessary to use all the values of X, Y, and Z, and at least one of them may be used to calculate the objective degree. Further, a value calculated by a formula other than the above formula may be used, which is suitable for the above-mentioned viewpoint of the degree of objectiveness.

For the evaluation information in which the user other than the user whose contribution is to be estimated is the evaluator, the contribution estimation unit 13 calculates the objective degree while the user other than the user whose contribution is to be estimated is the evaluator. Among the evaluation information about the activity different from the activity related to the target evaluation information, the objective degree is calculated based on the evaluation information in which the user other than the user of the evaluator is the implementing party. Based on the above evaluation information, the contribution estimation unit 13 evaluates the number of others who evaluated the activity by the user who is the evaluator and the number of times the user who is the evaluator evaluated the activity of the other person. The user who is the evaluator is not the user whose contribution is estimated to the ratio of the number of others who evaluated the activity by the user who is the person and the number of times the user who is the evaluator evaluated the activity of the other person. At least one of the ratios of the number of times the activities of others are evaluated is calculated to calculate the objective degree of the evaluation information in which the user other than the user whose contribution is estimated is the evaluator. That is, the objective degree of the evaluation of B (evaluator) → A (implementing party) is calculated from the evaluation of B → C (other than B). That is, the value related to the objective degree (values X', Y', Z'described later) is calculated with reference to the evaluation information indicating that B has evaluated the activity of another person. The other person in the above corresponds to C above. That is, C is a user (other than B) other than the user (B: evaluator) who is an evaluator other than the user whose contribution is estimated. Therefore, the others include the user (A: implementing party) whose contribution is estimated.

上記の式中のｐ´，ｑ´，ｒ´は、予め設定されるパラメータである。ｐ´は、ある人物が過去に少なくともｐ´人以上の他者の活動を評価していれば、その人物の評価には客観性があると定義するパラメータであり、０より大きい（＞０）値とされる。ｑ´には、客観度の算出対象の評価情報に係る評価者が過去に活動を評価した他者（評価者によって活動を評価された他者）が、特定の人物に偏ることを全く許容しない場合には１が設定され、特定の人物に一定の割合で偏ることを許容する場合には０を除く１未満の正の値が設定される。ｒ´には、客観度の算出対象の評価情報に係る評価者が過去に活動を評価した他者（評価者によって活動を評価された他者）が、客観度の算出対象の評価情報に係る実施当事者に偏ることを全く許容しない場合には１が設定され、実施当事者に一定の割合で偏ることを許容する場合には０を除く１未満の正の値が設定される。Ｙ´，Ｚ´の算出の際に式中の分数の分母が０になる場合（０除算時）には、それらのパラメータ（Ｙ´，Ｚ´）の値を１とすることとしてもよい。 Specifically, the contribution estimation unit 13 calculates the following values X', Y', Z'as values related to the objective degree.

P', q', and r'in the above equation are preset parameters. p'is a parameter that defines that if a person has evaluated the activities of at least p'or more others in the past, the evaluation of that person is objective, and is greater than 0 (> 0). It is a value. In q', the other person whose activity is evaluated in the past by the evaluator related to the evaluation information for which the objective degree is calculated (the other person whose activity is evaluated by the evaluator) is not allowed to be biased to a specific person at all. In that case, 1 is set, and in the case of allowing a specific person to be biased at a certain rate, a positive value less than 1 excluding 0 is set. In r', another person whose activity has been evaluated in the past by the evaluator related to the evaluation information for which the objective degree is calculated (the other person whose activity has been evaluated by the evaluator) relates to the evaluation information for which the objective degree is calculated. If the implementing party is not allowed to be biased at all, 1 is set, and if the implementing party is allowed to be biased at a certain rate, a positive value less than 1 excluding 0 is set. When the denominator of a fraction in the formula becomes 0 (at the time of division by zero) when calculating Y'and Z', the values of those parameters (Y', Z') may be set to 1.

The contribution estimation unit 13 calculates X ′ × Y ′ × Z ′ and uses the calculated value as the objective degree of the evaluation information. The values calculated in this way indicate that the larger the value, the greater the degree of objectiveness.

In the above equation of X', Y', Z', in order to make the influence of each value uniform, it is set to 1 when the value exceeds 1, but even if the value exceeds 1, it is set to 1. The value may be used as the value of X', Y', Z'. Further, the sum of X', Y', and Z'may be used as the objective degree instead of the product of X', Y', and Z'as described above. Further, when the sum is taken, each value may be weighted in advance. Further, it is not necessary to use all the values of X', Y', and Z', and at least one of them may be used to calculate the objective degree. Further, a value calculated by a formula other than the above formula may be used, which is suitable for the above-mentioned viewpoint of the degree of objectiveness.

The contribution estimation unit 13 calculates, for example, the objective degree of all the evaluation information. The contribution estimation unit 13 calculates the objective degree for each user (implementing party) from the objective degree for each evaluation information. For example, the contribution estimation unit 13 calculates the objective degree for each user from the objective degree for each evaluation information according to a predetermined conversion rule set in advance. Specifically, the contribution estimation unit 13 calculates the objective degree for each user by taking the average of the objective degree for each evaluation information in which the user whose objective degree is calculated is the evaluator.

The contribution estimation unit 13 may calculate the contribution using at least one of the objective degree for each evaluation information and the objective degree for each user. For example, the evaluation information having a low objective degree and the evaluation value related to the user's evaluation may be considered to be underestimated and may be corrected according to the objective degree.

Specifically, when the objective degree (≦ 1) for each evaluation information calculated by using the above-mentioned X, Y, Z, X ′, Y ′, Z ′ is used, the evaluation value indicated by the evaluation information and the corresponding value. A value obtained by multiplying the objective degree of the evaluation information by the objective degree may be calculated as a new evaluation value, and the calculated value may be used for calculating the contribution degree. When using the objective degree for each user, the contribution degree is calculated by using a new vector v as the element value obtained by multiplying the above-mentioned element value of the vector v (value of the service area time) and the corresponding objective degree of the user. It may be used for. At this time, the evaluation values related to all the evaluations performed by the user with a low degree of objectiveness become small. Moreover, you may combine these.

Further, only when certain conditions are satisfied, correction may be performed using the objective degree for each evaluation information and the objective degree for each user. For example, the objective degree of the evaluation information may be used only when the objective degree of the evaluation information is 0.1 (10%) or less. Alternatively, the user's objectiveness may be used only for users whose user's objectiveness is 0.1 (10%) or less and whose evaluation number exceeds 100. This process is for lowering the evaluation information that is clearly regarded as fraudulent and the evaluation value related to the user's evaluation. The above conditions can be freely set by parameters. In addition, a penalty may be given instead of the incentive to the user who is clearly regarded as fraudulent when the incentive is given based on the degree of contribution.

If the degree of contribution is estimated using the degree of objective as described above, it is possible to objectively evaluate the activity of the user and estimate the degree of highly accurate contribution to the predetermined group or organization of the user. can.

The block diagram used in the description of the above embodiment shows a block of functional units. These functional blocks (components) are realized by any combination of hardware and / or software. Further, the means for realizing each functional block is not particularly limited. That is, each functional block may be realized by one physically and / or logically coupled device, or directly and / or indirectly by two or more physically and / or logically separated devices. (For example, wired and / or wireless) may be connected and realized by these plurality of devices.

For example, the contribution estimation device 10 in one embodiment of the present invention may function as a computer that processes the contribution estimation device 10 of the present embodiment. FIG. 14 is a diagram showing an example of the hardware configuration of the contribution estimation device 10 according to the present embodiment. The above-mentioned contribution estimation device 10 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

In the following description, the word "device" can be read as a circuit, a device, a unit, or the like. The hardware configuration of the contribution estimation device 10 may be configured to include one or more of the devices shown in the figure, or may be configured not to include some of the devices.

For each function of the contribution estimation device 10, the processor 1001 performs an operation by loading predetermined software (program) on hardware such as the processor 1001 and the memory 1002, and the communication device 1004 communicates with the memory 1002 and the memory 1002. It is realized by controlling the reading and / or writing of data in the storage 1003.

Processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be composed of a central processing unit (CPU) including an interface with a peripheral device, a control device, an arithmetic unit, a register, and the like. For example, each function of the contribution estimation device 10 may be realized by the processor 1001.

Further, the processor 1001 reads a program (program code), a software module and data from the storage 1003 and / or the communication device 1004 into the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above-described embodiment is used. For example, each function of the contribution estimation device 10 may be realized by a control program stored in the memory 1002 and operated by the processor 1001. Although it has been described that the various processes described above are executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. Processor 1001 may be mounted on one or more chips. The program may be transmitted from the network via a telecommunication line.

The memory 1002 is a computer-readable recording medium, and is composed of at least one such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), and a RAM (Random Access Memory). May be done. The memory 1002 may be referred to as a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, or the like that can be executed to carry out the method according to the embodiment of the present invention.

The storage 1003 is a computer-readable recording medium, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, an optical magnetic disk (for example, a compact disk, a digital versatile disk, a Blu-ray). It may consist of at least one (registered trademark) disk), smart card, flash memory (eg, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, server or other suitable medium containing memory 1002 and / or storage 1003.

The communication device 1004 is hardware (transmission / reception device) for communicating between computers via a wired and / or wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, or the like. For example, each function of the above-mentioned contribution estimation device 10 may be realized by the communication device 1004.

The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

Further, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be composed of a single bus or may be composed of different buses between the devices.

Further, the contribution estimation device 10 includes hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). It may be configured to include, and a part or all of each functional block may be realized by the hardware. For example, the processor 1001 may be implemented on at least one of these hardware.

Although the present embodiment has been described in detail above, it is clear to those skilled in the art that the present embodiment is not limited to the embodiment described in the present specification. This embodiment can be implemented as an amendment or modification without departing from the spirit and scope of the present invention as determined by the description of the scope of claims. Therefore, the description of the present specification is for the purpose of illustration and does not have any limiting meaning to the present embodiment.

The notification of information is not limited to the embodiments / embodiments described herein, and may be performed by other methods. For example, information notification includes physical layer signaling (eg, DCI (Downlink Control Information), UCI (Uplink Control Information)), higher layer signaling (eg, RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling, etc. It may be carried out by broadcast information (MIB (Master Information Block), SIB (System Information Block)), other signals, or a combination thereof. Further, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.

The processing procedures, sequences, flowcharts, and the like of each aspect / embodiment described in the present specification may be rearranged in order as long as there is no contradiction. For example, the methods described herein present elements of various steps in an exemplary order and are not limited to the particular order presented.

The input / output information and the like may be stored in a specific place (for example, a memory) or may be managed by a management table. Information to be input / output may be overwritten, updated, or added. The output information and the like may be deleted. The input information or the like may be transmitted to another device.

The determination may be made by a value represented by 1 bit (0 or 1), by a boolean value (Boolean: true or false), or by comparing numerical values (for example, a predetermined value). It may be done by comparison with the value).

Each aspect / embodiment described in the present specification may be used alone, in combination, or may be switched and used according to the execution. Further, the notification of predetermined information (for example, the notification of "being X") is not limited to the explicit one, but is performed implicitly (for example, the notification of the predetermined information is not performed). May be good.

Software, whether called software, firmware, middleware, microcode, hardware description language, or other names, instructions, instruction sets, codes, code segments, program codes, programs, subprograms, software modules. , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, features, etc. should be broadly interpreted.

Further, software, instructions, and the like may be transmitted and received via a transmission medium. For example, the software may use wired technology such as coaxial cable, fiber optic cable, twist pair and digital subscriber line (DSL) and / or wireless technology such as infrared, wireless and microwave to website, server, or other. When transmitted from a remote source, these wired and / or wireless technologies are included within the definition of transmission medium.

The information, signals, etc. described herein may be represented using any of a variety of different techniques. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description are voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these. It may be represented by a combination of.

The terms described herein and / or the terms necessary for understanding the present specification may be replaced with terms having the same or similar meanings. For example, the channel and / or symbol may be a signal. Also, the signal may be a message. Further, the component carrier (CC) may be referred to as a carrier frequency, a cell, or the like.

The terms "system" and "network" used herein are used interchangeably.

Further, the information, parameters, etc. described in the present specification may be represented by an absolute value, a relative value from a predetermined value, or another corresponding information. .. For example, the radio resource may be indexed.

The names used for the parameters mentioned above are not limited in any way. Further, mathematical formulas and the like using these parameters may differ from those expressly disclosed herein. Since the various channels (eg, PUCCH, PDCCH, etc.) and information elements (eg, TPC, etc.) can be identified by any suitable name, the various names assigned to these various channels and information elements are in any respect. However, it is not limited.

Mobile communication terminals may be subscriber stations, mobile units, subscriber units, wireless units, remote units, mobile devices, wireless devices, wireless communication devices, remote devices, mobile subscriber stations, access terminals, mobile terminals, etc. It may also be referred to as a wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable term.

The terms "determining" and "determining" as used herein may include a wide variety of actions. "Judgment" and "decision" are, for example, judgment, calculation, computing, processing, deriving, investigating, looking up (for example, table). , Searching in a database or another data structure), ascertaining can be considered as a "judgment" or "decision". Also, "judgment" and "decision" are receiving (for example, receiving information), transmitting (for example, transmitting information), input (input), output (output), and access. It may include (for example, accessing data in memory) to be regarded as "judgment" or "decision". In addition, "judgment" and "decision" are considered to be "judgment" and "decision" when the things such as solving, selecting, choosing, establishing, and comparing are regarded as "judgment" and "decision". Can include. That is, "judgment" and "decision" may include considering some action as "judgment" and "decision".

The terms "connected", "coupled", or any variation thereof, mean any direct or indirect connection or connection between two or more elements and each other. It can include the presence of one or more intermediate elements between two "connected" or "combined" elements. The connection or connection between the elements may be physical, logical, or a combination thereof. As used herein, the two elements are by using one or more wires, cables and / or printed electrical connections, and, as some non-limiting and non-comprehensive examples, radio frequencies. By using electromagnetic energies such as electromagnetic energies with wavelengths in the region, microwave region and light (both visible and invisible) regions, they can be considered to be "connected" or "coupled" to each other.

The phrase "based on" as used herein does not mean "based on" unless otherwise stated. In other words, the statement "based on" means both "based only" and "at least based on".

As used herein by designations such as "first", "second", etc., any reference to that element does not generally limit the quantity or order of those elements. These designations can be used herein as a convenient way to distinguish between two or more elements. Thus, references to the first and second elements do not mean that only two elements can be adopted there, or that the first element must somehow precede the second element.

As long as "include", "including", and variations thereof are used herein or within the scope of the claims, these terms are similar to the term "comprising". In addition, it is intended to be inclusive. Moreover, the term "or" as used herein or in the claims is intended to be non-exclusive.

In the present specification, a plurality of devices shall be included unless the device has only one device apparently in context or technically. The entire disclosure is intended to include the plural, unless the context clearly indicates the singular.

10 ... Contribution estimation device, 11 ... Evaluation information acquisition unit, 12 ... Existence status information acquisition unit, 13 ... Contribution estimation unit, 1001 ... Processor, 1002 ... Memory, 1003 ... Storage, 1004 ... Communication device, 1005 ... Input device , 1006 ... Output device, 1007 ... Bus, 20 ... External device.

Claims (10)

A contribution estimation device that estimates the contribution of a user who has performed a predetermined activity to a predetermined group or organization.
An evaluation information acquisition unit that acquires evaluation information including information indicating users who are evaluators and users who are implementing parties, and information indicating quantitative evaluation by evaluators for the activities of implementing parties.
Existence status for each user indicating a situation in which the evaluator and the user including the implementing party existed in the area where the activity of the implementing party was performed and including the place other than the place where the activity was performed. The existence status information acquisition department that acquires information, and
A contribution estimation unit that estimates the user's contribution based on the evaluation information acquired by the evaluation information acquisition unit and the existence status information acquired by the existence status information acquisition unit.
Contribution estimation device equipped with. The contribution degree according to claim 1, wherein the contribution degree estimation unit represents the evaluation relationship between users in a graph based on the evaluation information and the existence situation information, and performs graph structure analysis to estimate the contribution degree of the user. Estimator. The contribution estimation unit allocates each of a plurality of users to the rows and columns of the matrix based on the evaluation information, and generates a matrix having a value indicating the quantitative evaluation as an element value, and the plurality of users said. The contribution estimation device according to claim 1 or 2, which generates a matrix having a value corresponding to the existence status information as an element value and calculates the contribution degree of a plurality of users from the generated matrix. The contribution estimation unit determines the importance of pages, links, and pages in the page rank algorithm by using the user, the value indicating the quantitative evaluation, and the value corresponding to the existence status information as the importance of the page, the link, and the page, and the page rank algorithm of a plurality of users. The contribution estimation device according to claim 3, which calculates the contribution. The existence status information acquisition unit is any one of claims 1 to 4 for acquiring the existence status information of the user according to the type of the position where the user was present in the area where the activity of the implementing party was performed. Contribution estimation device described in. The existence status information acquisition unit is described in any one of claims 1 to 5 for acquiring the existence status information of the user according to the time when the user was present in the area where the activity of the implementing party was performed. Contribution estimation device. The contribution estimation according to any one of claims 1 to 6, wherein the existence status information acquisition unit acquires the existence status information of the user according to the movement of the user in the area where the activity of the implementing party is performed. Device. The evaluation information acquisition unit acquires evaluation information including information indicating the area where the activity was performed.
The contribution estimation device according to any one of claims 1 to 7, wherein the contribution estimation unit estimates the contribution of the user based on the area where the activity is performed. The evaluation information acquisition unit acquires evaluation information including information indicating the time related to the activity, and obtains evaluation information.
The contribution estimation device according to any one of claims 1 to 8, wherein the contribution estimation unit estimates the contribution of the user based on the time related to the activity. The contribution estimation unit calculates the objective degree of the evaluation information acquired by the evaluation information acquisition unit in which the user whose contribution is estimated is the implementing party, and the calculated objective degree is calculated. Estimate the contribution of the user based on
Among the evaluation information acquired by the evaluation information acquisition unit, the contribution estimation unit refers to activities in which the user whose contribution is estimated is the implementing party and the activity is different from the activity related to the evaluation information for which the objective degree is calculated. The objective degree is based on at least one of the evaluation information of the activity different from the activity related to the evaluation information of the evaluation information and the user other than the user whose contribution degree is estimated, and the evaluation information of the objective degree calculation target. The contribution estimation device according to any one of claims 1 to 9.

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