JP6730596B2 - File presentation program, file presentation device, and file presentation method - Google Patents

Description

The present invention relates to a file presentation program, a file presentation device, and a file presentation method.

A business operator that provides services to users (hereinafter, also simply referred to as a business operator) configures and operates a business system according to the purpose, for example, to provide various services to users. .. The business operator manages the files stored in the storage device by the user, for example, by operating the business system.

Specifically, the business system acquires information such as the creation date and time and the file size of the files stored in the storage device, and lists the files that should be deleted with priority over other files (hereinafter, simply the file list). (Also called) and present it to the user. As a result, the user can easily specify the file to be deleted when there is a need to secure the storage capacity of the storage device. (For example, refer to Patent Documents 1 to 3).

JP, 11-085578, A JP, 2002-057978, A JP 2006-318097 A

However, when the information that can be acquired by the business system (file creation date, file size, etc.) is limited, the business system may not be able to create the file list with high accuracy.

Also, the files included in the file list created by the business system and the files that the user actually determines to be unnecessary do not necessarily match. Therefore, the user may not be able to reduce the work load required for file deletion by referring to the file list presented by the business system.

Therefore, it is an object of one aspect to provide a file presentation program, a file presentation device, and a file presentation method that can reduce the work load when deleting a file.

According to one aspect of the embodiment, in a file presentation program that causes a computer to execute a process of presenting a file that is a candidate for deletion among files stored in a storage unit, a plurality of deletion conditions are accepted, By referring to the storage unit, a plurality of files that satisfy any of the plurality of received deletion conditions are specified, and information indicating an expected value that determines that a file satisfying the deletion condition is unnecessary is associated with the deletion condition. A plurality of expected values respectively associated with the plurality of received deletion conditions are acquired by referring to a storage unit that stores the plurality of files, and the specified plurality of files are presented based on the plurality of acquired expected values. Causes a computer to execute a process of determining a priority.

According to one aspect, it is possible to reduce the work load when deleting a file.

FIG. 1 is a diagram showing the configuration of the information processing system 10. FIG. 2 is a diagram illustrating a hardware configuration of the information processing device 1. FIG. 3 is a block diagram of functions of the information processing device 1. FIG. 4 is a flowchart illustrating an outline of the file presentation process according to the first embodiment. FIG. 5 is a diagram illustrating an outline of the file presentation processing according to the first embodiment. FIG. 6 is a diagram for explaining the outline of the file presentation processing according to the first embodiment. FIG. 7 is a flowchart illustrating details of the file presentation process according to the first embodiment. FIG. 8 is a flowchart illustrating details of the file presentation process according to the first embodiment. FIG. 9 is a flowchart illustrating details of the file presentation process according to the first embodiment. FIG. 10 is a flowchart illustrating details of the file presentation process according to the first embodiment. FIG. 11 is a flowchart illustrating details of the file presentation process according to the first embodiment. FIG. 12 is a flow chart for explaining the details of the file presentation process in the first embodiment. FIG. 13 is a flowchart illustrating the details of the file presentation process according to the first embodiment. FIG. 14 is a flowchart illustrating the details of the file presentation process according to the first embodiment. FIG. 15 is a diagram illustrating a specific example of the deletion condition information 132. FIG. 16 is a diagram illustrating a specific example of expected value information 133. FIG. 17 is a diagram illustrating a specific example of the priority information 134. FIG. 18 is a diagram illustrating a specific example of the expected value information 133. FIG. 19 is a diagram illustrating a specific example of the priority information 134. FIG. 20 is a specific example of the importance candidate information 133a. FIG. 21 is a diagram illustrating a specific example of the squared error information 135. FIG. 22 is a diagram illustrating a specific example of the squared error information 135. FIG. 23 is a diagram illustrating a specific example of the squared error information 135. FIG. 24 is a diagram illustrating a specific example of the expected value information 133. FIG. 25 is a diagram illustrating a specific example of the priority information 134. FIG. 26 is a diagram illustrating a specific example of the priority information 134. FIG. 27 is a diagram illustrating a specific example of the priority information 134. FIG. 28 is a diagram illustrating a specific example of the squared error information 135. FIG. 29 is a diagram illustrating a specific example of the squared error information 135. FIG. 30 is a diagram illustrating a specific example of expected value information 133.

[Configuration of information processing system]
FIG. 1 is a diagram showing the configuration of the information processing system 10. The information processing system 10 illustrated in FIG. 1 includes an information processing device 1 (hereinafter, also referred to as a file presentation device 1), a storage device 1a, and a storage device 1b. The information processing device 1 is, for example, a physical machine that can access the business entity terminal 11 via a network NW such as the Internet or an intranet.

The information processing device 1 performs, for example, a process of presenting a list of files of deletion candidates to the user (hereinafter, also referred to as a file presenting process).

The storage device 1a and the storage device 1b are external disk devices including, for example, an HDD (Hard Disk Drive) and an SSD (Solid State Drive). Specifically, the storage device 1a stores, for example, a plurality of files that are candidates for deletion. Further, the storage device 1b stores, for example, various kinds of information referred to when the information processing device 1 performs the file presentation process. The storage device 1a and the storage device 1b may be composed of the same storage device. Further, the storage device 1 a and the storage device 1 b may be storage devices provided inside the information processing device 1.

The business entity terminal 11 is, for example, a terminal through which the business entity inputs necessary information. Then, when the business operator inputs information, the business operator terminal 11 transmits the input information to the information processing device 1, for example.

The information processing apparatus 1 as described above, for example, accesses the storage device 1b and acquires information such as the creation date and time and the file size of the file stored in the storage device 1a. Then, the information processing device 1 refers to the information acquired from the storage device 1b, creates a list of files to be deleted preferentially among the files stored in the storage device 1a, and presents the list to the user. As a result, the user can easily specify the file to be deleted, for example, when it is necessary to secure the storage capacity of the storage device 1a.

However, when the information that can be acquired by the information processing apparatus 1 (file creation date, file size, etc.) is limited, the information processing apparatus 1 may not be able to create the file list with high accuracy.

Also, the files included in the file list created by the information processing device 1 and the files that the user actually determines to be unnecessary do not necessarily match. Therefore, even if the user refers to the file list presented by the information processing device 1, the user may not be able to reduce the work load required for file deletion.

Therefore, in the present embodiment, the information processing device 1 receives a plurality of deletion conditions, refers to the storage device 1a in which the deletion candidate files are stored, and refers to a plurality of files that satisfy any of the received deletion conditions. Specify. Then, the information processing device 1 refers to the storage device 1b that stores the information indicating the expected value for determining that a file satisfying the deletion condition is unnecessary, in association with the deletion condition, and corresponds to each of the received deletion conditions. Get multiple expected values attached. After that, the information processing device 1 determines the priority of presenting the specified files based on the acquired expected values.

That is, the information processing device 1 stores in advance the information indicating the expected value for determining that a file satisfying each deletion condition is unnecessary in the storage device 1b. Specifically, the information processing device 1 creates information indicating an expected value corresponding to a file satisfying each deletion condition based on, for example, history information of files deleted in the past by the business operator, and creates the storage device 1b. Remember. Then, for example, when the business operator deletes the file, the information processing device 1 refers to the information indicating the expected value stored in the storage device 1b to determine the priority of each file of the deletion candidate.

As a result, the information processing apparatus 1 can determine the priority of each of the deletion candidate files so that, for example, the deletion candidate file that is likely to be deleted by the business operator has a high priority. .. Therefore, the information processing device 1 can present the information indicating each file of the deletion candidate and the priority determined for each file in association with each other, for example. Therefore, the business operator can reduce the work load associated with the file deletion by referring to the information presented by the information processing device 1 when determining the file to be deleted.

[Hardware configuration of information processing device]
Next, the hardware configuration of the information processing device 1 will be described. FIG. 2 is a diagram illustrating a hardware configuration of the information processing device 1.

The information processing device 1 includes a CPU 101 that is a processor, a memory 102, an external interface (I/O unit) 103, and a storage medium (storage) 104. The respective units are connected to each other via a bus 105.

The storage medium 104 stores a program 110 for performing file presentation processing in a program storage area (not shown) in the storage medium 104.

As shown in FIG. 2, the CPU 101 loads the program 110 from the storage medium 104 into the memory 102 when the program 110 is executed, and cooperates with the program 110 to perform a file presentation process.

The storage medium 104 has, for example, an information storage area 130 (hereinafter, also referred to as a storage unit 130) that stores information referred to when performing a file presentation process. Further, the external interface 103 communicates with the business entity terminal 11 and the like.

The storage device 1a and the storage device 1b described in FIG. 1 may correspond to the storage medium 104. Hereinafter, the storage device 1a and the storage device 1b will be described as corresponding to the storage medium 104.

[Function of information processing device]
Next, the function of the information processing device 1 will be described. FIG. 3 is a block diagram of functions of the information processing device 1.

As shown in FIG. 3, the CPU 101 cooperates with the program 110 to, for example, receive a condition receiving unit 111, a file specifying unit 112, an expected value acquiring unit 113, a priority determining unit 114, and a file information receiving unit. The unit 115 (hereinafter, also referred to as the information receiving unit 115) operates as the expected value updating unit 116.

Further, the information storage area 130 stores a deletion candidate file 131 (hereinafter, also simply referred to as a file 131), deletion condition information 132, expected value information 133, priority information 134, and squared error information 135. It

The condition receiving unit 111 receives designation of a deletion condition (one or more deletion conditions) for determining a file to be deleted among the files 131 stored in the information storage area 130. Specifically, the condition receiving unit 111 receives, for example, the deletion condition designated by the business operator via the business terminal 11. In this case, the condition acceptance unit 111 may refer to the deletion condition information 132 stored in advance in the information storage area 130 and accept the designation of the deletion condition whose information is stored in the deletion condition information 132. The deletion condition information 132 is, for example, information in which each piece of deletion information is associated with a file satisfying each piece of deletion information. A specific example of the deletion condition information 132 will be described later.

The file identification unit 112 identifies a plurality of files that satisfy any of the deletion conditions accepted by the condition acceptance unit 111. Specifically, the file identification unit 112 identifies a plurality of files by referring to the deletion condition information 132, for example.

The expected value acquisition unit 113 refers to the expected value information 133 stored in advance in the information storage area 130, and acquires the expected value associated with each of the deletion conditions accepted by the condition acceptance unit 111. The expected value information 133 is information in which each deletion condition is associated with information indicating an expected value that determines that a file satisfying each deletion condition is unnecessary. The information indicating the expected value is, for example, the importance of each deletion condition. Specifically, the expected value acquisition unit 113 may calculate the expected value corresponding to each deletion condition by substituting the importance of each deletion condition into a predetermined monotonically increasing function, for example. A specific example of the expected value information 133 will be described later.

The priority determination unit 114 determines the priority of presenting the plurality of files identified by the file identification unit 112 based on the expected value acquired by the expected value acquisition unit 113. In this case, the priority determination unit 114 refers to the expected value information 133, for example, and creates the priority information 134 including the information indicating the priority corresponding to each file. A specific example of the priority information 134 will be described later.

The file information receiving unit 115 receives information indicating a file (file deleted by the business operator) that is determined to be unnecessary by the business operator out of the plurality of files specified by the file specifying unit 112.

Then, the expected value updating unit 116 indicates the expected value corresponding to each of the deletion conditions received by the condition receiving unit 111 among the information included in the expected value information 133 based on the information received by the file information receiving unit 115. Update information. Specifically, the expected value updating unit 116 updates the importance of each of the deletion conditions received by the condition receiving unit 111 among the information included in the expected value information 133, for example.

[Outline of First Embodiment]
Next, the outline of the first embodiment will be described. FIG. 4 is a flowchart illustrating an outline of the file presentation process according to the first embodiment. 5 and 6 are diagrams for explaining the outline of the file presentation processing according to the first embodiment. The file presentation process shown in FIG. 4 will be described with reference to FIGS. 5 and 6.

As shown in FIG. 5, the information processing device 1 waits until the deletion condition is received from the business entity terminal 11 or the like (NO in S1). The information processing device 1 may accept, for example, a deletion condition directly input by the business operator to the information processing device 1. Then, when the deletion condition is accepted (YES in S1), the information processing apparatus 1 refers to the information storage area 130 as shown in FIG. 5, and a plurality of information satisfying any of the deletion conditions accepted in the process of S1 is satisfied. A file is specified (S2).

After that, the information processing apparatus 1 stores, as shown in FIG. 6, expected value information 133 in which each deletion condition and information indicating an expected value for which a file satisfying each deletion condition is determined to be unnecessary are associated with each other. By referring to the storage area 130, the expected values respectively associated with the deletion conditions received in the process of S1 are acquired (S3). Then, as shown in FIG. 6, the information processing device 1 determines the priority of presenting the plurality of files specified in the process of S2 based on the expected value acquired in the process of S3 (S4).

That is, the information processing device 1 stores in advance, in the information storage area 130, information indicating an expected value that determines that a file satisfying each deletion condition is unnecessary. Then, for example, when the business operator deletes the file, the information processing device 1 refers to the information indicating the expected value stored in the information storage area 130 to determine the priority of each file of the deletion candidate. ..

As described above, the information processing apparatus 1 according to the present embodiment receives a plurality of deletion conditions, refers to the information storage area 130 in which the file of the deletion candidate is stored, and refers to the plurality of received deletion conditions. Specify the file. Then, the information processing device 1 refers to the information storage area 130 that stores the information indicating the expected value that determines that a file satisfying the deletion condition is unnecessary, in association with the deletion condition, and determines that each of the received deletion conditions includes Acquire a plurality of associated expected values. After that, the information processing device 1 determines the priority of presenting the specified files based on the acquired expected values.

As a result, the information processing apparatus 1 can determine the priority of each of the deletion candidate files so that, for example, the deletion candidate file that is likely to be deleted by the business operator has a high priority. .. Therefore, the information processing device 1 can present the information indicating each file of the deletion candidate and the priority determined for each file in association with each other, for example. Therefore, the business operator can reduce the work load associated with the file deletion by referring to the information presented by the information processing device 1 when determining the file to be deleted.

[Details of First Embodiment]
Next, details of the first embodiment will be described. 7 to 14 are flowcharts illustrating details of the file presenting process according to the first embodiment. 15 to 30 are diagrams for explaining the details of the file presentation process according to the first embodiment. The file presentation processing of FIGS. 7 to 14 will be described with reference to FIGS. 15 to 30.

As shown in FIG. 7, the condition accepting unit 111 of the information processing device 1 waits until accepting the designation of the delete condition from the business entity terminal 11 or the like (NO in S11). Specifically, the condition receiving unit 111 waits until the deletion condition information 132 includes the specification of the deletion condition. Hereinafter, a specific example of the deletion condition information 132 will be described.

[Specific example of deletion condition information]
FIG. 15 is a diagram illustrating a specific example of the deletion condition information 132. The deletion condition information 132 illustrated in FIG. 15 includes a “item number” that identifies each piece of information included in the deletion condition information 132, a “deletion condition” to which each deletion condition is set, and a “file” to which each file name is set. It has "name" as an item.

Specifically, in the deletion condition information 132 shown in FIG. 15, “100 days or more not updated” is set as the “deletion condition” in the information whose “item number” is “R1”. In addition, in the deletion condition information 132 shown in FIG. 15, for information whose “item number” is “R1”, “a.txt”, “c.mov”, “h.txt”, “ “i.eml”, “j.docx”, “k.txt”, “l.zip”, and “m.ppt” are set.

Then, in the deletion condition information 132 shown in FIG. 15, “20 MB or more” is set as the “deletion condition” in the information whose “item number” is “R2”. In addition, in the deletion condition information 132 shown in FIG. 15, the information whose “item number” is “R2” is “b.zip”, “c.mov”, “g.avi” and “file name”. l.zip" is set. Descriptions of other information included in FIG. 15 are omitted. In the following description, it is assumed that "not updated for 100 days or more", "20 MB or more", "moving image file", and "Office document" are designated in the process of S11.

Returning to FIG. 7, when the deletion condition is accepted (YES in S11), the file identification unit 112 of the information processing device 1 refers to the deletion condition information 132 stored in the information storage area 130 and accepts it in the process of S11. A plurality of files 131 satisfying any of the deletion conditions are specified (S12). Specifically, for example, among the files whose information is included in the deletion condition information 132 described with reference to FIG. 15, the file identification unit 112 sets “deletion condition” to “not updated for 100 days or more”, “20 MB or more”, and “moving image”. The file corresponding to the information in which the "file" and the "office document" are set is specified.

After that, the expected value acquisition unit 113 of the information processing device 1 refers to the expected value information 133 stored in the information storage area 130 and acquires the expected value associated with each of the deletion conditions received in the process of S11 ( S13). The details of the process of S13 will be described below.

[Details of processing in S13]
FIG. 8 is a flowchart illustrating the details of S13. Note that the following description will be made assuming that in the process of S13, the expected value is acquired based on the importance of each deletion condition.

As shown in FIG. 8, the expected value acquisition unit 113 refers to the expected value information 133 stored in the information storage area 130 and acquires the importance of each of the deletion conditions accepted in the process of S11 (S21). Hereinafter, a specific example of the expected value information 133 will be described.

[Specific example of expected value information]
16, FIG. 18, FIG. 24, and FIG. 30 are diagrams illustrating specific examples of expected value information 133. In the expected value information 133 shown in FIG. 16 and the like, “item number” identifying each piece of information included in the expected value information 133, “deletion condition” in which each deletion condition is set, and importance of each deletion condition are set. The item has “importance”.

Specifically, in the expected value information 133 shown in FIG. 16, for information whose "item number" is "R1", "not updated for 100 days or more" is set as the "deletion condition" and "importance" is set to " 5” is set. Further, in the expected value information 133 shown in FIG. 16, “20 MB or more” is set as the “deletion condition” and “3” is set as the “importance” for the information whose “item number” is “R2”. ing. Descriptions of other information included in FIG. 16 are omitted.

That is, the expected value acquisition unit 113, for example, in the process of S21, "5", "3" as the importance of "not updated for 100 days or more", "20 MB or more", "moving image file", and "Office document". , “7” and “1” are acquired respectively.

Returning to FIG. 8, the expected value acquisition unit 113 substitutes the importance acquired in the processing of S21 into a predetermined monotonically increasing function, and acquires the calculated value as an expected value (S22). For example, the priority determination unit 114 calculates the expected value corresponding to each deletion condition by substituting the importance acquired in the process of S21 into the following expression (1), for example. In addition, x in Formula (1) is each importance of each deletion condition. Further, hereinafter, the description will be made assuming that the decimal places of 4 digits or less are rounded.

具体的に、優先度決定部１１４は、例えば、「１００日以上未更新」の重要度である「５」を式（１）に代入することにより、「１００日以上未更新」に対応する期待値として「０．４７４」を算出する。

Specifically, the priority determination unit 114 substitutes "5", which is the degree of importance of "not updated for 100 days or more", into the expression (1), and thus expects to correspond to "not updated for 100 days or more". "0.474" is calculated as the value.

In the process of S22, the expected value acquisition unit 113 uses a monotonically increasing function that can calculate an expected value that is 0 or more and 1 or less, as shown in Expression (1). As a result, the information processing apparatus 1 can calculate the sum of squared errors (second value) for determining the new importance of each deletion condition, as described later.

Returning to FIG. 7, the priority determination unit 114 of the information processing device determines the priority of presenting the plurality of files specified in the process of S12 based on the expected value acquired in the process of S13 (S14). The details of the process of S14 will be described below.

[Details of processing in S14]
FIG. 9 is a flowchart illustrating the details of S14. The priority determination unit 114 specifies the deletion condition satisfied by each of the plurality of files specified in the process of S12 (S31).

Specifically, the priority determination unit 114 refers to the deletion condition information 132, and specifies, for example, "not updated for 100 days or more" as the deletion condition satisfied by the file whose "file name" is "a.txt". .. In addition, the priority determination unit 114 specifies, for example, “not updated for 100 days or more”, “20 MB or more”, and “operation file” as the deletion condition satisfied by the file whose “file name” is “c.mov”. ..

Then, the priority determination unit 114 subtracts an expected value corresponding to each of the deletion conditions satisfied by each file from 1 and multiplies them, and subtracts a first value obtained by subtracting 1 from the value calculated by multiplication. , For each of the plurality of files specified in the process of S12 (S32).

Specifically, the priority determination unit 114 calculates the first value (P), for example, by substituting the expected value corresponding to each of the deletion conditions satisfied by each file into the following formula (2). Note that k in Expression (2) is an identifier that identifies each of the deletion conditions that each file satisfies. Further, P _k in Expression (2) corresponds to the expected value (f(x)) calculated by Expression (1).

具体的に、例えば、「ファイル名」が「ａ．ｔｘｔ」であるファイルが満たす削除条件である「１００日以上未更新」の期待値が「０．４７４」である場合、優先度決定部１１４は、「１」から「０．４７４」を減算した値である「０．５２６」を算出する。さらに、優先度決定部１１４は、「１」から「０．５２６」を減算した値である「０．４７４」を算出する。そして、優先度決定部１１４は、「ファイル名」が「ａ．ｔｘｔ」であるファイルに対応する第１の値として「０．４７４」を取得する。

Specifically, for example, when the expected value of “not updated for 100 days or more”, which is the deletion condition satisfied by the file whose “file name” is “a.txt”, is “0.474”, the priority determination unit 114. Calculates "0.526" which is a value obtained by subtracting "0.474" from "1". Further, the priority determination unit 114 calculates "0.474" which is a value obtained by subtracting "0.526" from "1". Then, the priority determination unit 114 acquires “0.474” as the first value corresponding to the file whose “file name” is “a.txt”.

In addition, the expected values of "not updated for 100 days or more", "20 MB or more" and "operation file", which are deletion conditions satisfied by the file whose "file name" is "c.mov", are "0.474", " 0.286" and "0.615". Therefore, the priority determination unit 114 subtracts “0.474”, “0.286”, and “0.615” from “1”, which are the values “0.526”, “0.714”, and “0.714”. 0.385" is calculated. Then, the priority determination unit 114 multiplies the calculated “0.526”, “0.714”, and “0.385” with each other to calculate “0.145”. Further, the priority determination unit 114 calculates "0.855" which is a value obtained by subtracting "0.145" from "1". Then, the priority determination unit 114 acquires “0.855” as the first value corresponding to the file whose “file name” is “c.mov”.

Then, the priority determining unit 114 determines the priority for each of the plurality of files identified in the process of S12 based on the first value calculated in the process of S32 (S33). The details of the process of S33 will be described below.

[Details of processing in S33]
FIG. 10 is a flowchart illustrating the details of S33. The priority determination unit 114, for example, uses a value calculated by multiplying the file size of each file by the first value corresponding to each of the plurality of files identified in the process of S12, for each of the plurality of files. The priority is determined (S41).

That is, in this case, the priority determination unit 114 determines the priority of each file such that the larger the value calculated by multiplying the first value by the file size, the higher the priority. As a result, the priority determination unit 114 can increase the priority of not only the file having the first large value but also the file having the large file size.

The priority determination unit 114 may determine the priority based on only the first value without considering the file size of each file, for example. Specifically, the priority determination unit 114 may determine the first value corresponding to each file as the priority corresponding to each file as it is, for example. In the following description, the first value corresponding to each file is determined as the priority.

Returning to FIG. 9, the priority determination unit 114 creates the priority information 134 including the priority determined in the process of S33 (S34). Then, the priority determination unit 114 outputs the created priority information 134 to an output device (not shown) of the business entity terminal 11, for example. The priority determination unit 114 also stores the created priority information 134 in the information storage area 130, for example. Hereinafter, a specific example of the priority information 134 will be described.

[Specific example of priority information]
17, FIG. 19, FIG. 25, FIG. 26 and FIG. 27 are diagrams for explaining specific examples of the priority information 134. The priority information 134 illustrated in FIG. 17 and the like is the “item number” that identifies each piece of information included in the priority information 134, the “file name” in which the file name is set, and the file set in the “file name”. The item has "size" in which the file size of is set. In addition, the priority information 134 shown in FIG. 17 and the like includes “unupdated days” in which the number of unupdated days of the file set in “file name” is set and deletion corresponding to the file set in “file name”. The item has “deletion condition” for which the condition is set. In addition, the priority information 134 shown in FIG. 17 and the like is “priority” in which the priority of the file set in “file name” is set, and whether or not the file set in “file name” is deleted. The item has “arrangement result” in which information indicating that is set. In the "Organization result", "Delete" indicating that the file set in "File name" was deleted by the business operator, or the file set in "File name" was not deleted by the business operator “Protection” indicating is set.

Specifically, in the example illustrated in FIG. 17, the priority determination unit 114 sets “a.txt” in the “file name” of the information whose “item number” is “1” and sets “0” in the “size”. .01 (MB)" is set, "120 (days)" is set in the "number of unupdated days", and "R1" is set in the "deletion condition". Then, the priority determining unit 114 corresponds to "47" (%) corresponding to the "priority" of the information having the "item number" of "1" and the priority "0.474" determined in the process of S33. Is set. Further, in the example shown in FIG. 17, the priority determining unit 114 sets “c.mov” in the “file name” of the information whose “item number” is “3” and sets “500” (MB) in the “size”. )”, the number of unupdated days is set to “120 (days)”, and the “deletion condition” is set to “R1”, “R2”, and “R3”. Then, the priority determination unit 114 has “86 (%)” corresponding to the “priority” of the information whose “item number” is “3” and the priority “0.855” determined in the process of S33. Is set. Note that in the example shown in FIG. 17, no information is set in the “sorting result” of each information. Descriptions of other information included in FIG. 17 are omitted.

Thereby, the business operator can identify the file to be deleted by referring to the priority information 134 created in the process of S34. Specifically, the business operator refers to the priority information 134 described with reference to FIG. 17, and determines whether or not to delete in order from a file with a large numerical value set in “priority” (a file with a high priority). Will be able to do. Further, the business operator can determine whether or not to delete a file only for files whose numerical value set in the "priority" is a predetermined value or more. Therefore, the business operator can efficiently delete the file.

Returning to FIG. 7, the file information receiving unit 115 of the information processing device 1 waits until it receives the information of the file deleted by the business operator (NO in S15). That is, the file information receiving unit 115 waits until the business operator deletes the file.

Then, when the information of the file deleted by the business operator is received (YES in S15), the expected value updating unit 116 of the information processing device 1 is important for each deletion condition based on the information received in the process of S15. The degree is updated (S16).

That is, when the file is deleted by the business operator, the information processing device 1 updates the importance of each file based on new information about the deleted file. This allows the information processing device 1 to present more accurate information including the priority to the business operator when the business operator deletes the file again.

The process of S16 may be performed regularly, such as once a day, regardless of whether the file has been deleted by the business operator. The details of the process of S16 will be described below.

[Details of processing in S16]
FIG. 11 is a flowchart illustrating the details of S16. The following description will be given assuming that the expected value updating unit 116 refers to the expected value information 133 shown in FIG. 18 and the priority information 134 shown in FIG. Further, hereinafter, description will be made assuming that the value that can be set as the importance (hereinafter, also referred to as importance candidate) is an integer from “1” to “10”.

The "importance" in the expected value information 133 shown in FIG. 18 is set to "5" as an initial value. Further, in the “organization result” in the priority information 134 shown in FIG. 19, files having “file names” “a.txt”, “b.zip”, and “c.mov” have been deleted in the past. “Delete” indicating that is set.

As shown in FIG. 11, the expected value updating unit 116 sets “5” for each candidate of importance of the deletion condition including information in the deletion condition information 132 stored in the information storage area 130 (S51). .. It should be noted that the expected value updating unit 116 stores the candidates of the respective importance levels of the respective deletion conditions in the information storage area 130 as, for example, information different from the expected value information 133 (hereinafter also referred to as importance level candidate information 133a). It may be one. Hereinafter, a specific example of the importance candidate information 133a will be described.

[Specific example of importance candidate information]
FIG. 20 is a specific example of the importance candidate information 133a. When compared with the expected value information 133 described with reference to FIG. 18, the importance candidate information 133a illustrated in FIG. 20 has “importance candidate” as an item instead of “importance”. Specifically, in the importance candidate information 133a shown in FIG. 20, "5" is set as an initial value for each "importance candidate".

Returning to FIG. 11, the expected value updating unit 116 performs importance update processing for updating importance (S52). The importance update processing will be described below.

[Importance update processing]
12 and 13 are flowcharts for explaining the importance update processing. The expected value update unit 116 refers to the deletion condition information 132 stored in the information storage area 130, and identifies one deletion condition whose information is included in the deletion condition information 132 (S61).

Then, the expected value updating unit 116 performs the least square error calculation process for the current importance candidate (hereinafter, also referred to as a specific candidate) of the deletion condition specified in the process of S61 (S62). The least square error calculation process will be described below.

[Least square error calculation process]
FIG. 14 is a flowchart illustrating the least square error calculation process. The expected value updating unit 116 identifies a determined file that has been determined to satisfy the deletion condition identified in S61 (S81).

Specifically, when “not updated for 100 days or more” is specified in the process of S61, the expected value update unit 116 refers to the priority information 134 described in FIG. 19, and “R1” is set in the “deletion condition”. “A.txt”, “b.zip”, and “c.mov” that are the information set in the “file name” of the set information are specified.

Next, the expected value updating unit 116 subtracts the first value corresponding to each determined file from 1 for each file determined to be unnecessary out of the plurality of determined files specified in the process of S81. The squared values are calculated (S82).

Specifically, in the priority information 134 shown in FIG. 19, the “reorganization result” of each file whose “file name” is “a.txt”, “b.zip” and “c.mov” is “ "Delete" is set. The current importance candidates of “not updated for 100 days or more” and “20 MB or more” are “5”, respectively.

Therefore, the expected value updating unit 116 determines that the first values corresponding to the three files whose “file names” are “a.txt”, “b.zip”, and “c.mov” are “0.474”, respectively. , “0.723” and “0.723” are calculated. Then, the expected value updating unit 116 calculates “0.277”, “0.077”, and “0.077”, respectively, as the value obtained by squaring the value obtained by subtracting the first value from 1.

Further, the expected value updating unit 116 sets a value obtained by squaring the first value corresponding to each determined file for each file that is not determined to be unnecessary among the plurality of determined files identified in the process of S81. Each is calculated (S83).

Specifically, in the priority information 134 shown in FIG. 19, there is no file in which “protection” is set in “organization result”. Therefore, the expected value updating unit 116 calculates "0" in the process of S83.

Then, a second value is calculated by adding each of the values calculated in the process of S82 and each of the values calculated in the process of S83 (S84).

Specifically, the expected value updating unit 116 adds “0.277”, “0.077” and “0.077” calculated in the process of S82 and “0” calculated in the process of S83. Thus, “0.430” is calculated as the second value. Then, the expected value updating unit 116 ends the least square error calculation process after the process of S84.

Returning to FIG. 12, the expected value update unit 116 performs the least square error calculation process for the candidate having the next highest importance degree after the current importance candidate of the deletion condition identified in the process of S61 (S63). Specifically, the expected value updating unit 116 uses the least squares when the importance corresponding to “not updated for 100 days or more” is “6” and the importance corresponding to “20 MB or more” is “5”. An error calculation process is performed to calculate “0.314” as the second value.

In addition, the expected value updating unit 116 performs the least square error calculation process for the candidate having the second lowest importance degree after the candidate of the current importance degree of the deletion condition specified in the processing of S61 (S64). Specifically, the expected value updating unit 116 uses the least squares when the importance corresponding to “not updated for 100 days or more” is “4” and the importance corresponding to “20 MB or more” is “5”. An error calculation process is performed to calculate “0.589” as the second value.

Note that the expected value updating unit 116 may store the second value calculated in the processing of S62, S63, and S64 in the information storage area 130 as the squared error information 135, for example. Hereinafter, a specific example of the squared error information 135 will be described.

[Specific example of squared error information (1)]
21, 22, 23, 28, and 29 are diagrams illustrating specific examples of the squared error information 135. The squared error information 135 shown in FIG. 21 and the like is an expected value corresponding to “item number” for identifying each information included in the squared error information 135 and deletion conditions “not updated for 100 days or more” and “20 MB or more” Have “importance candidate (1)” and “importance candidate (2)” as items. In addition, the squared error information 135 illustrated in FIG. 21 and the like has “squared error” as an item in which the second value calculated in the process of S84 is set.

Specifically, when the process of S62 is performed, the expected value update unit 116, for example, as shown in FIG. 21, the “importance candidate (1)” of the information whose “item number” is “2”, for example. Set to "5". In addition, the expected value updating unit 116 sets, for example, “5” to “candidate of importance (2)” of information whose “item number” is “2”, and “0.430” as “square error”. Set to.

In addition, when the process of S63 is performed, the expected value updating unit 116 indicates, as shown in FIG. 21, for example, in the “importance candidate (1)” of the information whose “item number” is “3”. 6” is set. In addition, the expected value updating unit 116 sets, for example, “5” to “candidate of importance (2)” of information whose “item number” is “2”, and “0.314” as “square error”. Set to.

Further, when the process of S64 is performed, the expected value updating unit 116 indicates, for example, that the "item number" is "1" in the "importance candidate (1)" as shown in FIG. 4” is set. In addition, the expected value updating unit 116 sets, for example, “5” in the “importance degree candidate (2)” of the information in which the “item number” is “1”, and the “square error” is “0.589”. Set to.

After that, the expected value updating unit 116 determines whether or not the second value calculated in the process of S62 is less than or equal to the second value calculated in the processes of S63 and S64 (S65). As a result, when it is determined that the second value calculated in the process of S62 is less than or equal to the second value calculated in the processes of S63 and S64 (YES in S65), the expected value updating unit 116 The candidate of the current importance of the deletion condition specified in the process of S61 is determined as a new importance of the deletion condition specified in the process of S61 (S66). On the other hand, when it is determined that the second value calculated in the process of S62 is not less than or equal to the second value calculated in the processes of S63 and S64 (NO in S65), the expected value update unit 116 causes S71 and the subsequent steps. Processing is performed, and the processing for determining the new degree of importance of the deletion condition specified in the processing of S61 is continued.

That is, the second value calculated in the least-squares error calculation process has a larger value as the second value calculated from the importance candidate having a larger difference from the importance candidate having the smallest second value. Become. Therefore, when the second value corresponding to the current importance candidate is larger than the second value corresponding to the importance candidate smaller than the current importance candidate, the expected value updating unit 116 It is possible to determine that the candidate of importance having the smallest value of 2 is the candidate of the current importance or the candidate of the smaller importance than the candidate of the current importance. If the second value corresponding to the current importance candidate is smaller than the second value corresponding to the importance candidate smaller than the current importance candidate, the expected value updating unit 116 It is possible to determine that the candidate of importance having the smallest value of 2 is the candidate of the current importance or the candidate of the higher importance than the candidate of the current importance.

Therefore, the expected value updating unit 116 repeats the calculation of the second value while shifting (updating) the current importance candidate in the direction in which the second value calculated from the current importance candidate decreases. To do. As a result, the expected value update unit 116 determines that the second value calculated from the current importance candidate is the importance candidate before the previous update is performed (hereinafter, also simply referred to as the last importance candidate). When it becomes larger than the second value calculated from, the second value calculated from the previous importance is determined to be the minimum value of the second values corresponding to the deletion condition specified in the processing of S61. It will be possible. Therefore, in this case, the expected value updating unit 116 specifies in the process of S61 even if the candidate of the importance of the deletion condition specified in the process of S61 has not reached “1” or “10”. The process for determining the new importance of the deletion condition can be ended. Therefore, the expected value updating unit 116 can reduce the processing load associated with updating the importance.

Returning to FIG. 12, the expected value updating unit 116 determines whether or not all the deletion conditions have been specified in the process of S61 after the process of S66 (S67). When it is determined that all the deletion conditions have been specified (YES in S67), the expected value updating unit 116 ends the importance degree updating process. On the other hand, when it is determined that all the deletion conditions have not been specified (NO in S67), the expected value updating unit 116 performs the processing from S61 again.

When it is determined that the second value calculated in the process of S62 is not less than or equal to the second value calculated in the processes of S63 and S64 (NO in S65), the expected value updating unit 116 is As shown in, it is determined whether or not the second value calculated in the process of S64 is less than or equal to the second value calculated in the process of S62 (S71).

As a result, when it is determined that the second value calculated in the process of S64 is less than or equal to the second value calculated in the process of S62 (YES in S71), the expected value updating unit 116 causes the expected value update unit 116 to perform the process in S61. "1" is subtracted from the candidate of the current importance of the deletion condition specified in (S72). That is, in this case, the expected value updating unit 116 determines that the candidate of importance having the minimum second value is smaller than the candidate of current importance. Therefore, the expected value updating unit 116 reduces the candidates of the current importance of the deletion condition identified in the process of S61. On the other hand, when determining that the second value calculated in the process of S64 is not less than or equal to the second value calculated in the process of S62 (NO in S71), the expected value updating unit 116 executes the process in S61. "1" is added to the candidate of the current importance of the identified deletion condition (S73). That is, in this case, the expected value updating unit 116 determines that the candidate of importance having the smallest second value is larger than the candidate of current importance. Therefore, the expected value updating unit 116 increases the current importance candidate of the deletion condition specified in the process of S61.

Specifically, for example, when “0.430” is calculated in the process of S62, “0.314” is calculated in the process of S63, and “0.589” is calculated in the process of S64, the expected value update The unit 116 determines that the second value calculated in the process of S63 is the smallest and the second value calculated in the process of S64 is the largest (NO in S65, NO in S71). Therefore, in this case, the expected value updating unit 116 updates “5”, which is a candidate of the current importance of the deletion condition specified in the processing of S61, to “6” (S73).

Then, after the processing of S72 or S73, the expected value updating unit 116 determines whether or not the current importance candidate of the deletion condition identified in the processing of S61 is "1" or "10" (S74). ). As a result, when the current importance candidate of the deletion condition identified in the processing of S61 is "1" or "10" (YES in S74), the expected value updating unit 116 performs the processing of S66 and thereafter.

That is, when the current importance candidate of the deletion condition specified in the processing of S61 becomes the smallest value or the largest value that the importance candidate can take, the expected value update unit 116 determines that the importance candidate The smallest possible value or the largest possible value is determined to be an appropriate value as the importance of the deletion condition specified in the processing of S61. Therefore, in this case, the expected value updating unit 116 sets “1” or “10”, which is the candidate of the current importance of the deletion condition specified in the process of S61, to the new importance of the deletion condition specified in the process of S61. The degree is determined (S66).

On the other hand, when the current importance candidate of the deletion condition specified in the processing of S61 is not "1" or "10" (NO in S74), the expected value updating unit 116 performs the processing of S62 and thereafter again. Hereinafter, a specific example of the squared error information 135 stored in the information storage area 130 until the new importance of the deletion condition specified in the process of S61 is determined will be described.

[Specific example of squared error information (2)]
FIG. 22 is a diagram illustrating a specific example of the squared error information 135 stored until the new importance of “not updated for 100 days or more” specified in the process of S61 is determined.

In the process of S72, when “5” which is the candidate of the current importance of the deletion condition identified in the process of S61 is updated to “6” (S73), the expected value updating unit 116 sets “ 0.314" is calculated. In this case, the expected value updating unit 116 calculates "0.230" in the process of S63 and "0.430" in the process of S64. Therefore, in this case, the expected value updating unit 116 sets “7” in the “importance candidate (1)” of the information whose “item number” is “4” as shown in FIG. 22 (S73). .. In addition, the expected value updating unit 116 sets “5” to the “importance candidate (2)” of the information whose “item number” is “4” and sets “0.230” to the “square error”. To do. Description of other information included in FIG. 22 is omitted.

Then, in the squared error information 135 shown in FIG. 22, the larger the value set for “importance candidate (1)”, the smaller the value set for “squared error”. Therefore, in this case, the expected value updating unit 116 determines the new importance of “not updated for 100 days or more” to be “10” (S66).

Note that, for example, when a new importance corresponding to “not updated for 100 days or more” identified in the process of S61 is determined, the second value calculated by the process of S62 performed for the first time is: It is the same as the second value calculated by the process of S64 performed the second time. In this case, the second value calculated by the process of S63 performed the first time is the same as the second value calculated by the process of S62 performed the second time. Therefore, the expected value updating unit 116 may omit, for example, the execution of the processes of S62 and S64 performed after the second time.

[Specific example of squared error information (3)]
FIG. 23 is a diagram illustrating a specific example of the squared error information 135 stored until the new importance of “20 MB or more” specified in the processing of S61 is determined.

As described with reference to FIG. 22, when the new importance of “not updated for 100 days or more” is determined (NO in S66 and S67), the expected value updating unit 116 sets the new importance of “20 MB or more”. A process for determining is performed (S61 etc.). The following description will be made assuming that the current importance levels of “not updated for 100 days or more” and “20 MB or more” are “10” and “5”, respectively.

Specifically, when “0.096” is calculated in the process of S62, the expected value update unit 116, as shown in FIG. 23, is a “significance candidate” of information whose “item number” is “2”. "1"" is set to "10", "importance candidate (2)" is set to "5", and "square error" is set to "0.096". In addition, when “0.087” is calculated in the process of S63, the expected value updating unit 116, as shown in FIG. 23, selects “importance degree candidates (1) of information whose “item number” is “3”. )” is set to “10”, “importance candidate (2)” is set to “6”, and “square error” is set to “0.087”. Furthermore, when “0.108” is calculated in the process of S64, the expected value updating unit 116, as shown in FIG. 23, “candidate of importance (1 )” is set to “10”, “importance candidate (2)” is set to “4”, and “square error” is set to “0.108”.

Then, in this case, the expected value updating unit 116 determines that the second value calculated in the process of S63 is the smallest and the second value calculated in the process of S64 is the largest (NO in S65, S71). NO). Therefore, in this case, the expected value updating unit 116 updates “5”, which is a candidate for the current importance level of “20 MB or more”, to “6”, for example.

After that, the expected value updating unit 116 calculates “0.087” in the process of S62. Further, in this case, the expected value updating unit 116 calculates “0.080” in the processing of S63 and “0.096” in the processing of S64. Therefore, in this case, the expected value updating unit 116 sets “10” in the “importance candidate (1)” of the information whose “item number” is “4”, as shown in FIG. "7" is set to the degree candidate (2), and "0.080" is set to the "square error". Descriptions of other information included in FIG. 23 are omitted.

In the squared error information 135 shown in FIG. 23, the larger the value set for “importance candidate (2)”, the smaller the value set for “squared error”. Therefore, in this case, the expected value updating unit 116 determines "10" as the new importance of "20 MB or more" (S66).

Returning to FIG. 11, the expected value updating unit 116 determines whether or not the importance has been updated in the process of S52 (S53). Then, when it is determined that the importance has been updated (YES in S53), the expected value updating unit 116 performs the process of S52 (importance updating process) again.

That is, in the importance update processing, the new importance of each deletion condition is determined based on the importance before update. Therefore, depending on the importance level before the update, the importance level may not be accurately determined by the importance level update process. Therefore, the expected value updating unit 116 repeats the importance updating process until the importance is not updated. As a result, the expected value updating unit 116 can accurately determine a new importance regardless of the importance before updating.

When it is determined that the importance has not been updated (NO in S53), the expected value updating unit 116 ends the process of S16.

Note that the expected value update unit 116 may update the expected value information 133 based on the new importance determined in the process of S16, when the process of S16 is performed. Specifically, as shown in FIG. 24, the expected value updating unit 116 sets "10" to the "importance" of the information whose "deletion condition" is "not updated for 100 days or more", and then sets the "deletion condition". "10" is set to the "importance" of the information having "20 MB or more". This allows the business operator to refer to the newly determined importance when the file is deleted again.

[Specific example when files are deleted again]
Next, a specific example when the file is deleted again will be described. The priority information 134 shown in FIGS. 25 and 26 is the priority information 134 created when the processing from S11 to S14 is performed again.

Specifically, in addition to the information included in the priority information 134 described with reference to FIG. 19, the priority information 134 illustrated in FIG. 25 includes “d.xlsx”, “e.docx”, and “f. The information on the file names of "mp4" and "g.avi" is added.

Then, when “0.752” is calculated as the priority of each file in the process of S33, the priority determination unit 114 determines that the “file name” is “d.xlsx” as shown in FIG. , "E.docx", "f.mp4", and "g.avi" are set to "75(%)" as "priority" (S34).

After that, when the expected value updating unit 116 acquires, for example, information indicating whether or not each file has been deleted by the business operator, the expected value updating unit 116 stores the acquired information in the information storage area 130 as part of the priority information 134. Specifically, the expected value updating unit 116 is, for example, as shown in FIG. 27, “file name” is “d.xlsx”, “e.docx”, “f.mp4”, and “g.avi”, respectively. Set "Protection", "Protection", "Protection" and "Delete" in the "Organization result" of the information.

Then, the expected value updating unit 116 performs importance update processing (S52) and creates the squared error information 135 corresponding to "not updated for 100 days or more", as shown in FIG. In the squared error information 135 shown in FIG. 28, “1.309”, which is the value set in the “squared error” of the information in which the “candidate of importance (1)” is “5”, is the candidate of importance. (1)” is smaller than “1.381” which is the value set in the “square error” of the information of “6” (NO in S65, YES in S71, NO in S72 and S74). Further, in the squared error information 135 shown in FIG. 28, “1.309”, which is the value set in the “squared error” of the information in which the “importance degree candidate (1)” is “5”, is “importance degree”. (1)” is smaller than “1.315” which is the value set in the “square error” of the information whose “4” is “4” (YES in S65). Therefore, in this case, the expected value updating unit 116 determines the new importance of “not updated for 100 days or more” to be “5” (S66).

Further, the expected value updating unit 116 performs importance update processing (S52), and as shown in FIG. 29, creates squared error information 135 corresponding to “20 MB or more”. In the squared error information 135 shown in FIG. 29, the value set in the “squared error” is small while the “importance candidate (2)” changes from “4” to “10” (NO in S65). , S71: YES, S72, S74: YES). Therefore, in this case, the expected value updating unit 116 determines the new importance of “20 MB or more” to be “10” (S66).

In this case, the expected value updating unit 116 further performs the importance update processing (YES in S53, S52) to change the new importance of “not updated for 100 days or more” from “5” to “4”. Update.

After that, the expected value updating unit 116 updates the expected value information 133 based on the new importance determined in the process of S16, for example. Specifically, in this case, the expected value updating unit 116 sets "4" to "importance" of information whose "deletion condition" is "not updated for 100 days or more", as shown in FIG. "10" is set to the "importance" of the information whose "deletion condition" is "20 MB or more".

As described above, the information processing apparatus 1 according to the present embodiment receives a plurality of deletion conditions, refers to the information storage area 130 in which the file of the deletion candidate is stored, and refers to the plurality of received deletion conditions. Specify the file. Then, the information processing device 1 refers to the information storage area 130 that stores the information indicating the expected value that determines that a file satisfying the deletion condition is unnecessary, in association with the deletion condition, and determines that each of the received deletion conditions includes Acquire a plurality of associated expected values. After that, the information processing device 1 determines the priority of presenting the specified files based on the acquired expected values.

As a result, the information processing apparatus 1 can determine the priority of each of the deletion candidate files so that, for example, the deletion candidate file that is likely to be deleted by the business operator has a high priority. .. Therefore, the information processing device 1 can present the information indicating each file of the deletion candidate and the priority determined for each file in association with each other, for example. Therefore, the business operator can reduce the work load associated with the file deletion by referring to the information presented by the information processing device 1 when determining the file to be deleted.

The information processing apparatus 1 may use a value of 0 or more and 1 or less as the importance when performing the file presentation process, for example. Then, in this case, the information processing device 1 may use the importance as it is as an expected value. As a result, the information processing device 1 can reduce the processing load required to determine a new importance in the process of S16. In addition, the information processing apparatus 1 may use, when performing the file presentation process, for example, the importance that the possible values do not have at regular intervals.

The above embodiments are summarized as the following supplementary notes.

(Appendix 1)
Of the files stored in the storage unit, in a file presentation program that causes a computer to perform a process of presenting files that are candidates for deletion,
Accept multiple deletion conditions,
Referring to the storage unit, specify a plurality of files that satisfy any of the plurality of received deletion conditions,
A plurality of expectations associated with the received plurality of deletion conditions are referred to by referring to a storage unit that stores information indicating an expected value for determining that a file satisfying the deletion condition is unnecessary, in association with the deletion condition. Get the value,
Based on the acquired expected values, determine the priority of presenting the specified files,
A file presentation program characterized by causing a computer to execute a process.

(Appendix 2)
In Appendix 1,
Accepting information indicating a file determined to be unnecessary out of the plurality of files,
Updating information indicating the expected value corresponding to each of the plurality of deletion conditions based on the received information,
A file presentation program characterized by causing a computer to execute a process.

(Appendix 3)
In Appendix 1,
The information indicating the expected value is the importance of each deletion condition,
The expected value is a value calculated by substituting the importance of each deletion condition into a predetermined monotonically increasing function,
A file presentation program characterized in that

(Appendix 4)
In Appendix 3,
In the process of determining the priority,
A first value obtained by subtracting the expected value corresponding to each of the deletion conditions satisfied by each file from 1 and multiplying each other, and subtracting the value calculated by multiplication from 1 is calculated for each of the plurality of files. Then
Determining the first value corresponding to each of the plurality of files as the priority of each of the plurality of files,
A file presentation program characterized in that

(Appendix 5)
In Appendix 3,
In the process of determining the priority,
A first value obtained by subtracting the expected value corresponding to each of the deletion conditions satisfied by each file from 1 and multiplying each other, and subtracting the value calculated by multiplication from 1 is calculated for each of the plurality of files. Then
A value calculated by multiplying the file size of each file by the first value corresponding to each of the plurality of files is determined as the priority of each of the plurality of files,
A file presentation program characterized in that

(Appendix 6)
In appendix 4 or 5,
In the process of updating the expected value,
In the process of identifying the plurality of files, identify a plurality of determined files that are determined to satisfy any of the plurality of deletion conditions,
A value obtained by squaring a value obtained by subtracting 1 from the first value corresponding to each determined file is calculated and specified for each file determined to be unnecessary out of the specified plurality of determined files. A value obtained by squaring the first value corresponding to each determined file is calculated for each file that is not determined to be unnecessary among the plurality of determined files, and each file determined to be unnecessary is calculated. A second value is calculated by adding each of the calculated values and each of the values calculated for each of the files not determined to be unnecessary,
Updating the importance of each of the plurality of deletion conditions based on the calculated second value,
A file presentation program characterized in that

(Appendix 7)
In Appendix 6,
In the process of calculating the second value, for each of the plurality of deletion conditions, a specific candidate included in the candidates of the importance of each deletion condition, a candidate having the next largest value of the specific candidate, and the specific candidate. And calculating the second value corresponding to each of the next smaller candidates,
In the process of updating the importance,
For each of the plurality of deletion conditions, the second value corresponding to the specific candidate, the second value corresponding to the next largest candidate of the specific candidate, and the next smallest candidate of the specific candidate. A comparison with the second value corresponding to
For each of the plurality of deletion conditions, when the second value corresponding to the specific candidate is the minimum, the importance of each deletion condition is updated to the specific candidate, and the next largest candidate of the specific candidate. If the second value corresponding to is the smallest, the process of calculating the second value with the next largest candidate of the specific candidate as the specific candidate is performed again, and the second smallest value of the specific candidate is obtained. When the second value corresponding to the candidate is the smallest, the process of calculating the second value is performed again with the next smaller candidate of the specific candidate as the specific candidate.
A file presentation program characterized in that

(Appendix 8)
In a file presentation device that presents files that are candidates for deletion among files stored in the storage unit,
A condition receiving unit that receives multiple deletion conditions,
A file identifying unit that refers to the storage unit and identifies a plurality of files that satisfy any of the plurality of received deletion conditions;
A plurality of expectations associated with the received plurality of deletion conditions are referred to by referring to a storage unit that stores information indicating an expected value for determining that a file satisfying the deletion condition is unnecessary, in association with the deletion condition. An expected value acquisition part that acquires a value,
A priority determination unit that determines the priority of presenting the specified files based on the acquired expected values.
A file presentation device characterized by the above.

(Appendix 9)
In Appendix 8,
An information receiving unit that receives information indicating a file determined to be unnecessary out of the plurality of files,
An expected value updating unit that updates information indicating the expected value corresponding to each of the plurality of deletion conditions based on the received information.
A file presentation device characterized by the above.

(Appendix 10)
Of the files stored in the storage unit, in a file presentation method for causing a computer to perform processing for presenting files that are candidates for deletion,
Accept multiple deletion conditions,
Referring to the storage unit, specify a plurality of files that satisfy any of the plurality of received deletion conditions,
A plurality of expectations associated with the received plurality of deletion conditions are referred to by referring to a storage unit that stores information indicating an expected value for determining that a file satisfying the deletion condition is unnecessary, in association with the deletion condition. Get the value,
Based on the acquired expected values, determine the priority of presenting the specified files,
A method of presenting a file characterized by the above.

(Appendix 11)
In Appendix 10,
Accepting information indicating a file determined to be unnecessary out of the plurality of files,
Updating information indicating the expected value corresponding to each of the plurality of deletion conditions based on the received information,
A method of presenting a file characterized by the above.

1: Information processing device 1a: Storage device 1b: Storage device 11: Business operator terminal NW: Network

Claims (10)

In a file presentation program that causes a computer to execute a process of presenting a file that is a candidate for deletion among files stored in a storage unit,
Accept multiple deletion conditions,
Referring to the storage unit, specify a plurality of files that satisfy any of the plurality of received deletion conditions,
Information indicating an expected value delete satisfying file is determined to be unnecessary by referring to the storage unit that stores in association with the deletion condition, the plurality respectively associated with said plurality of deletion condition received expected value To get
Based on the acquired plurality of expected values to determine the priority for presenting the plurality of files identified,
Accepting information indicating a file determined to be unnecessary out of the plurality of files,
Updating information indicating the expected value corresponding to each of the plurality of deletion conditions based on the received information,
A file presentation program characterized by causing a computer to execute a process. Of the files stored in the storage unit, in a file presentation program that causes a computer to perform a process of presenting files that are candidates for deletion,
Accept multiple deletion conditions,
Referring to the storage unit, specify a plurality of files that satisfy any of the plurality of received deletion conditions,
By referring to a storage unit that stores the importance of each deletion condition in association with each deletion condition, a plurality of importance levels respectively associated with the received plurality of deletion conditions are acquired, and the acquired plurality of importance levels are acquired. A value calculated by substituting each of the degrees into a predetermined monotonically increasing function is obtained as a plurality of expected values corresponding to the plurality of deletion conditions,
Based on the acquired expected values, determine the priority of presenting the specified files,
A file presentation program that causes a computer to execute a process. In claim 2 ,
In the process of determining the priority,
A first value obtained by subtracting the expected value corresponding to each of the deletion conditions satisfied by each file from 1 and multiplying each other, and subtracting the value calculated by multiplication from 1 is calculated for each of the plurality of files. Then
Determining the first value corresponding to each of the plurality of files as the priority of each of the plurality of files,
A file presentation program characterized in that In claim 2 ,
In the process of determining the priority,
A first value obtained by subtracting the expected value corresponding to each of the deletion conditions satisfied by each file from 1 and multiplying each other, and subtracting the value calculated by the multiplication from 1 is calculated for each of the plurality of files. Then
A value calculated by multiplying the file size of each file by the first value corresponding to each of the plurality of files is determined as the priority of each of the plurality of files,
A file presentation program characterized in that In Claim 3 or 4 ,
In the process of updating the expected value,
In the process of identifying the plurality of files, identify a plurality of determined files that are determined to satisfy any of the plurality of deletion conditions,
A value obtained by squaring a value obtained by subtracting 1 from the first value corresponding to each determined file is calculated and specified for each file determined to be unnecessary out of the specified plurality of determined files. A value obtained by squaring the first value corresponding to each determined file is calculated for each file that is not determined to be unnecessary among the plurality of determined files, and each file determined to be unnecessary is calculated. A second value is calculated by adding each of the calculated values and each of the values calculated for each of the files not determined to be unnecessary,
Updating the importance of each of the plurality of deletion conditions based on the calculated second value,
A file presentation program characterized in that In claim 5 ,
In the process of calculating the second value, for each of the plurality of deletion conditions, a specific candidate included in the candidates of the importance of each deletion condition, a candidate having the next largest value of the specific candidate, and the specific candidate. And calculating the second value corresponding to each of the next smaller candidates,
In the process of updating the importance,
For each of the plurality of deletion conditions, the second value corresponding to the specific candidate, the second value corresponding to the next largest candidate of the specific candidate, and the next smallest candidate of the specific candidate. A comparison with the second value corresponding to
For each of the plurality of deletion conditions, when the second value corresponding to the specific candidate is the minimum, the importance of each deletion condition is updated to the specific candidate, and the next largest candidate of the specific candidate. If the second value corresponding to is the smallest, the process of calculating the second value with the next largest candidate of the specific candidate as the specific candidate is performed again, and the second smallest value of the specific candidate is obtained. When the second value corresponding to the candidate is the smallest, the process of calculating the second value is performed again with the next smaller candidate of the specific candidate as the specific candidate.
A file presentation program characterized in that In a file presentation device that presents files that are candidates for deletion among files stored in the storage unit,
A condition receiving unit that receives multiple deletion conditions,
A file identifying unit that refers to the storage unit and identifies a plurality of files that satisfy any of the plurality of received deletion conditions;
Information indicating an expected value delete satisfying file is determined to be unnecessary by referring to the storage unit that stores in association with the deletion condition, the plurality respectively associated with said plurality of deletion condition received expected value An expected value acquisition part that acquires
A priority determination unit that determines the priority of presenting the specified files based on the acquired expected values;
Of the plurality of files, a file information receiving unit that receives information indicating a file determined to be unnecessary,
An expected value updating unit that updates information indicating the expected value corresponding to each of the plurality of deletion conditions based on the received information .
A file presentation device characterized by the above. In a file presentation device that presents files that are candidates for deletion among files stored in the storage unit,
A condition receiving unit that receives multiple deletion conditions,
A file identifying unit that refers to the storage unit and identifies a plurality of files that satisfy any of the plurality of received deletion conditions;
The storage unit that stores the importance of each deletion condition in association with each deletion condition is referred to, a plurality of importance levels associated with the received plurality of deletion conditions are acquired, and the plurality of acquired importance levels are acquired. An expected value acquisition unit that acquires a value calculated by substituting each of the degrees into a predetermined monotonically increasing function as a plurality of expected values corresponding to the plurality of deletion conditions,
A priority determination unit that determines the priority of presenting the specified files based on the acquired expected values.
A file presentation device characterized by the above. Of the files stored in the storage unit, in a file presentation method for causing a computer to perform processing for presenting files that are candidates for deletion,
Accept multiple deletion conditions,
Referring to the storage unit, specify a plurality of files that satisfy any of the plurality of received deletion conditions,
Information indicating an expected value delete satisfying file is determined to be unnecessary by referring to the storage unit that stores in association with the deletion condition, the plurality respectively associated with said plurality of deletion condition received expected value To get
Based on the acquired plurality of expected values to determine the priority for presenting the plurality of files identified,
Accepting information indicating a file determined to be unnecessary out of the plurality of files,
Updating information indicating the expected value corresponding to each of the plurality of deletion conditions based on the received information,
A file presentation method characterized by causing a computer to execute a process. Of the files stored in the storage unit, in a file presentation method for causing a computer to perform processing for presenting files that are candidates for deletion,
Accept multiple deletion conditions,
Referring to the storage unit, specify a plurality of files that satisfy any of the plurality of received deletion conditions,
By referring to a storage unit that stores the importance of each deletion condition in association with each deletion condition, a plurality of importance levels respectively associated with the received plurality of deletion conditions are acquired, and the acquired plurality of importance levels are acquired. A value calculated by substituting each of the degrees into a predetermined monotonically increasing function is obtained as a plurality of expected values corresponding to the plurality of deletion conditions,
Based on the acquired expected values, determine the priority of presenting the specified files,
A file presenting method characterized by causing a computer to execute a process.

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