JP5733119B2 - Library book search system, library book search method, library book search device and program - Google Patents

Description

  The present invention relates to a library book search system for searching library books.

  In recent years, it has become common to sell and purchase books at a virtual bookstore established on the Internet. Such a bookstore has a database, and when a user wants to find a target book, enter a book name, keyword, author name, release date, publisher name, etc., and perform a database search. The target book can be specified by. In addition, to help users find books by chance, for the selected book, other people who purchased the book present the purchased book as reference information at the same time or before and after the purchase of the book. There is also a virtual bookstore.

  In this way, a desired book is presented by a keyword search or a search based on another person's purchase history. In addition, various methods have been proposed for searching for books and products.

  For example, in Patent Document 1, it is considered that the user's preference is automatically determined from the book detailed description information browsed by the user and other dialogue input, and the user is interested based on the user's preference. There has been proposed a book introduction device that can efficiently provide a book to be read.

  For example, Patent Document 2 proposes a product advertisement distribution device that distributes product advertisements linked to current affairs regarding distribution of recommended product advertisements displayed together with web shopping content.

JP 2002-269106 A JP 2010-44584 A

  Conventionally, when a sudden event such as an accident or incident occurs, it is desired to quickly find a book that was helpful when a similar event occurred in the past, but such a search system has not been proposed.

  In Patent Literature 1 and Patent Literature 2, similar content is searched for based on words in content (books / news articles) browsed by the user, but search is performed using only bibliographic information of books and product information of products. Therefore, it cannot be determined whether the presented book / product is really useful for the user (or has been useful in the past).

  In other words, even if the search techniques of Patent Document 1 and Patent Document 2 are used, if a sudden event such as an accident or incident occurs, a book that has been referenced when a similar event has occurred in the past is searched. There were issues that could not be recommended to users.

  The present invention has been made in view of the above-described problems. The purpose of the present invention is to search for a similar event that occurred in the past when a sudden event occurs, and a library in the vicinity where the similar event occurred. It is to provide a library book search system or the like that is capable of searching for recommended books based on the lending history.

In order to achieve the above-mentioned object, the first invention is a library book search system in which a server and a terminal are connected via a network, wherein the server stores article storage means for storing a news article, and information on the library. The library information storage means for storing the book, the loan history storage means for storing the book loan history information in the library, and the news stored in the article storage means based on the terms included in the first news article Similar article search means for searching for a second news article similar to the first news article from among the articles, and information regarding a location included in the second news article searched by the similar article search means Based on the library information stored in the library information storage means, the library information related to the place is searched. Stored in the lending history storage means on the basis of the information related to the time included in the second news article and the library information related to the place searched by the related library information search means. Based on the lending history information searched by the related lending history information searching means, the related lending history information searching means for searching the lending history information for a predetermined period after the time period, from the lending history information being And a recommended book extracting means for extracting recommended books, wherein the terminal comprises display control means for controlling the display of the recommended books extracted by the recommended book extracting means of the server. Library book search system.
According to the first invention, when a sudden event occurs, it is possible to search for a similar event that occurred in the past, and to search for a book based on a loan history of a library in the vicinity where the similar event occurred.

According to a second aspect of the present invention, in the library book search method of a library book search system in which a server and a terminal are connected via a network, the server stores an article storage step for storing a news article, and a library for storing information about the library. Among the news articles stored in the processing of the article storage step based on terms included in the information storage step, the loan history storage step of storing the book loan history information in the library, and the first news article From the similar article search step of searching for a second news article similar to the first news article, and information on the location included in the second news article searched in the processing of the similar article search step From the information related to the library stored in the processing of the library information storage step, Related library information search step for searching for library information related to the place, library information related to the place searched in the processing of the related library information search step, and information about the time included in the second news article Based on the loan history information stored in the process of the loan history storage step, a related loan history information search step for searching for loan history information for a predetermined period after the period, and the related loan history information search A recommended book extraction step for extracting a recommended book based on the loan history information searched in the processing of the step, wherein the terminal extracts the recommended book extracted in the recommended book extraction step of the server A library book searching method comprising: a display control step for controlling display.
According to the second invention, when a sudden event occurs, a similar event that occurred in the past can be searched, and a book can be searched based on the loan history of a library in the vicinity where the similar event has occurred.

According to a third aspect of the present invention, there is provided article storage means for storing news articles, library information storage means for storing information relating to libraries, loan history storage means for storing book loan history information in the library, and first news articles. Similar article search means for searching for a second news article similar to the first news article from the news articles stored in the article storage means based on the terms included in the article storage means, and the similar article Based on the information about the place included in the second news article searched by the search means, the library information related to the place is searched from the information about the library stored in the library information storage means. Related library information search means, library information related to the place searched by the related library information search means, and the second news record Based on information related to the period included in the lending history storage means, the related lending history information search means for searching for lending history information for a predetermined period after the time period from the lending history information stored in the lending history storage means, A library book search device comprising: recommended book extraction means for extracting a recommended book based on the loan history information searched by the related loan history information search means.
According to the third invention, when a sudden event occurs, a similar event that occurred in the past can be searched, and a book can be searched based on the loan history of the library in the vicinity where the similar event occurred.

The lending history information search means narrows down the searched lending history information based on the term included in the first news article.
Thereby, a more appropriate book can be recommended.

The recommended book extracting unit extracts the recommended book by comparing the loan history information with reference loan history information.
Thereby, it is possible to easily extract books having a tendency to increase lending.

The reference lending history information is the sum of the lending histories of other libraries at the same time as the predetermined period, or the lending history of related libraries from the period included in the second news article to a predetermined period before. Is the total.
As a result, it is possible to use the loan history of books that are considered highly relevant to news articles as a reference.

According to a fourth aspect of the invention, an article storing step for storing a news article in a computer, a library information storing step for storing information about the library, a lending history storing step for storing lending history information of books in the library, A similar article search step of searching for a second news article similar to the first news article from the news articles stored in the processing of the article storage step based on terms included in the news article , Based on the information about the place included in the second news article searched in the processing of the similar article search step, the information about the library stored in the processing of the library information storage step is stored in the place. A related library information search step for searching related library information, and the related library information search step. From the lending history information stored in the lending history storage step based on the library information related to the location retrieved in the search and the information about the time included in the second news article, A related loan history information search step for searching for loan history information for a predetermined period after the time, and a recommended book extraction for extracting a recommended book based on the loan history information searched in the processing of the related loan history information search step Is a program for executing steps.
By installing the program according to the fourth invention in a computer, the library book search device according to the third invention can be obtained.

  According to the present invention, when a sudden event occurs, a library book search system capable of searching for a similar event that occurred in the past and searching for a recommended book based on a loan history of a library in the vicinity where the similar event occurred. Etc. can be provided.

It is a figure which shows the structural example of the library book information search system which concerns on embodiment of this invention. It is a block diagram which shows the structural example of the hardware of a search server. It is a figure which shows the database memorize | stored in the memory | storage part of DB server. It is a figure which shows an example of the information memorize | stored in an article database. It is a figure which shows an example of the information memorize | stored in a library information database. It is a figure which shows an example of the information memorize | stored in a rental history database. It is a flowchart explaining a recommendation book presentation process. It is a figure which shows the example of a display of a news article browsing screen, and the example of analysis result information. It is a figure which shows an example of a similar article. It is a figure which shows an example of a rental history. It is a figure which shows an example of related lending history information. It is a figure which shows an example of reference | standard rental history information.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[Embodiments of the present invention]
FIG. 1 is a diagram showing a configuration example of a library book information retrieval system 1 according to an embodiment of the present invention.

  A library book information search system 1 shown in FIG. 1 is configured by connecting a search server 2, a DB (database) server 3, and a browsing terminal 4 to each other via a network 5. In addition, the number of the search server 2, the DB server 3, and the browsing terminal 4 is arbitrary, and it is of course possible to provide a plurality of them.

  The search server 2 is a computer system comprising a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), HDD (Hard Disc Drive), etc., and is received from the browsing terminal 4 via the network 5. Based on a request to present a recommended book related to an event (news), a similar event stored in the DB server 3 is searched, related library information is searched from location information included in the searched similar event, Based on the rental history information of the library, recommended books are extracted, and the recommended book information is presented (returned) as a search result to the browsing terminal 4.

  The DB server 3 is a computer system including a CPU, ROM, RAM, HDD, and the like. When an event occurs, the content of the event is analyzed and stored in the database as a news article. In addition, when a library book is lent by a user in each library, the DB server 3 stores the loan history in the database. Furthermore, the DB server 3 stores information on each library in a database in advance.

  The browsing terminal 4 is a computer on which a CPU, ROM, RAM, HDD, input unit, display screen, and the like are mounted. The browsing terminal 4 receives input information from the user, transmits it as a search request to the search server 2 via the network 5, receives the search result from the search server 2, and presents the search result to the user. .

  The network 5 is a network such as a LAN (Local Area Network) or the Internet, and wired or wireless is not particularly limited.

  In the example of FIG. 1, the search server 2 and the DB server 3 are illustrated individually, but the case may be either a single or a plurality of cases, and the server management entities may be the same or different.

  FIG. 2 is a block diagram illustrating a hardware configuration example of the search server 2. Note that the hardware configuration in FIG. 2 is an example, and various configurations can be adopted depending on the application and purpose. Further, the DB server 3 and the browsing terminal 4 basically have the same configuration as the search server 2.

  A computer that realizes the search server 2 (DB server 3 and browsing terminal 4) is connected to a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, a display unit 15, and the like via a bus 16.

  The control unit 11 includes a CPU, a ROM, a RAM, and the like. The CPU calls and executes a program stored in the storage unit 12, ROM, recording medium or the like in the work memory area on the RAM, drives and controls each device connected via the bus 16, and searches the search server 2 (DB The server 3 and the browsing terminal 4) implement processing described later. The ROM is a non-volatile memory, and permanently stores programs such as computer boot programs, BIOS (Basic Input / Output System), data, and the like. The RAM is a volatile memory, and temporarily stores a program, data, and the like loaded from the storage unit 12, ROM, recording medium, and the like, and includes a work area used by the control unit 11 to perform various processes.

  The storage unit 12 is an HDD, and stores a program executed by the control unit 11, data necessary for program execution, an OS (operating system), and the like. With respect to the program, a control program corresponding to an OS (operating system) and an application program for causing a computer to execute processing described later are stored. Each of these program codes is read by the control unit 11 as necessary, transferred to the RAM, read by the CPU, and executed as various means.

  The communication unit 13 includes a communication control device, a communication port, and the like, is a communication interface that mediates communication between the computer and the network 5, and controls communication with other computers via the network 5.

  The input unit 14 inputs data and includes, for example, a keyboard, a pointing device such as a mouse, and an input device such as a numeric keypad. An operation instruction, an operation instruction, data input, and the like can be performed on the computer via the input unit 14.

  The display unit 15 includes a display device such as a liquid crystal panel and a logic circuit or the like (video adapter or the like) for realizing a video function of the computer in cooperation with the display device. The bus 16 is a path that mediates transmission / reception of control signals, data signals, and the like between the devices.

  FIG. 3 is a diagram illustrating a database stored in the storage unit 12 of the DB server 3. As shown in FIG. 3, an article database 21, a library information database 22, and a lending history database 23 are stored in the storage unit 12 of the DB server 3.

  For example, as shown in FIG. 4, the article database 21 stores at least a time 32, a place 33, an event 34, and a body 35 as a news article for each article ID 31.

  The article ID 31 indicates information for uniquely identifying a news article. Time 32 indicates date information of the news article. The place 33 shows place information such as a prefecture included in the news article. The event 34 indicates a term obtained by morphological analysis of a news article and extracted by an important word extraction technique (known technique) or the like. The event 34 stores at least one or more terms. The body 35 indicates electronic data (data usable by a computer) regarding the body of a news article.

  For example, as shown in FIG. 5, the library information database 22 stores at least a prefecture 42, a municipality 43, and a library name 44 as library information for each library ID 41.

  The library ID 41 indicates information for uniquely identifying the library. The prefecture 42 indicates the name of 47 prefectures such as Tokyo, Hokkaido, Osaka, Kanagawa and the like. A municipality 43 indicates the name of a municipality such as Yokohama City or Chuo Ward. The library name 44 indicates the name of the library.

  For example, as illustrated in FIG. 6, the lending history database 23 stores at least a lending date 52, a user name 53, a book name 54, and a library ID 55 as a lending history for each lending ID 51.

  The lending ID 51 indicates information for uniquely identifying the lending history. The loan date 52 indicates date information when the book is loaned. The user name 53 indicates the name or user ID of the user who borrowed the book. The book name 54 indicates the name of the book that has been lent. The library ID 55 indicates information for uniquely identifying the library, and is associated with the library ID 41 of the library information database 22.

  The database as described above is stored in the storage unit 12 of the DB server 3. And when the search server 2 performs the recommendation book presentation process mentioned later using the flowchart of FIG. 7, it refers to the database memorize | stored in the memory | storage part 12 of DB server 3, and extracts an appropriate book, Can be presented to the user.

  FIG. 7 is a flowchart for explaining recommended book presentation processing executed by the search server 2. In the description of FIG. 7, processing contents corresponding to specific data will also be described with reference to FIGS. 8 to 12.

  In step S <b> 1, the control unit 11 of the search server 2 stands by until the recommended book button is pressed on the news article browsing screen displayed on the display unit 15 of the browsing terminal 4.

  For example, the control unit 11 of the browsing terminal 4 causes the display unit 15 to display a news article browsing screen 61 as shown in FIG. When the user wants to check the news article on the news article browsing screen 61 displayed on the display unit 15 and examine further details, the user presses the button 61a of “recommended book” via the network 5. The search server 2 can be instructed to present a recommended book.

  In step S <b> 1, the control unit 11 of the search server 2 detects, via the network 5, that the “recommended book” button 61 a is pressed on the news article browsing screen 61 displayed on the display unit 15 of the browsing terminal 4. Then, it progresses to step S2 and the said news article is analyzed by processes, such as morphological analysis and important word extraction.

  The control unit 11 of the search server 2 obtains analysis result information 62 as indicated by the tip of the arrow A1 in FIG. 8 as a result of the news article analysis. In the case of the example of FIG. 8, the analysis result information 62 includes a time indicating “June 20, 2011”, a location indicating “Niigata Prefecture”, an event indicating “Yakiniku, food poisoning, diarrhea, vomiting, hospitalization” ( Information on terminology).

  In step S3, the control part 11 of the search server 2 is based on the information regarding the event (yaki shop, food poisoning, diarrhea, vomiting, hospitalization) included in the analysis information 62 obtained by the process of step S2. A similar article is searched with reference to the article database 21 of the storage unit 12. Further, the control unit 11 of the search server 2 registers as new news article data in the article database 21 of the storage unit 12 of the DB server 3 based on the analysis information 62 obtained in the process of step S2.

  FIG. 9 shows an example of similar articles searched in the process of step S3 of FIG.

  The similar article 71a includes a time period indicating "June 26, 1999", a place indicating "Osaka prefecture", and an event indicating "elementary school, school lunch, food poisoning, children, hospitalization". The similar article 71b includes a time period indicating "July 12, 2004", a place indicating "Akita Prefecture", and an event indicating "Ryokan, O-157, vomiting, hospitalization".

  In other words, the similar article 71a is searched when it matches the event “food poisoning, hospitalization” in the analysis information 62, and the similar article 71b is searched because it matches the event “vomiting, hospitalization” in the analysis information 62. Yes.

  In the example of FIG. 9, two similar articles are searched. However, if there are many search results, articles with higher similarity or newer times may be selected.

  Returning to the description of FIG. In step S4, the control unit 11 of the search server 2 extracts information on the place (prefecture) from the similar articles searched in the process of step S3. And the control part 11 of the search server 2 searches the library which exists in the extracted place with reference to the library information database 22 of the memory | storage part 12 of DB server 3. FIG.

  For example, “Osaka Prefecture” is extracted from the similar article 71a shown in FIG. 9, and “Akita Prefecture” is extracted from the similar article 71b. Therefore, the control unit 11 of the search server 2 stores the storage unit of the DB server 2. The library information database 22 is searched for library information in which the prefecture 42 (FIG. 5) indicates “Osaka Prefecture” or “Akita Prefecture”.

  In step S5, the control unit 11 of the search server 3 extracts the library ID 41 (FIG. 5) from the library information searched in the process of step S4, and starts from the similar articles 71a and 71b searched in the process of step S3. Extract information about. Then, the control unit 11 of the search server 3 refers to the lending history database 23 of the storage unit 12 of the DB server 3 and includes step S3 in the lending history of the library ID 55 (FIG. 6) linked to the extracted library ID 41. The lending history for a predetermined period (for example, one week, one month) after the time extracted in the process is searched.

  FIG. 10 shows an example of the lending history searched in the process of step S5 in FIG.

  The lending history 81a includes a library name indicating “Osaka City Δ △ Library”, a lending date indicating “June 27, 1996”, a user name indicating “Mr. A”, and a book name indicating “illustrated food poisoning”. include. The lending history 81b indicates a library name indicating “Osaka Prefectural XX Library”, a lending date indicating “June 27, 1996”, a user name indicating “Mr. B”, and “food poisoning to know and prevent”. The book title is included. The loan history 81c includes a library name indicating “Osaka Prefectural XX Library”, a loan date indicating “June 28, 1996”, a user name indicating “Mr. C”, and a book name indicating “food poisoning prevention essential”. It is included. The lending history 81d includes a library name indicating “Akita Prefectural △△ Library”, a lending date indicating “July 13, 2004”, a user name indicating “Mr. D”, and a book name indicating “illustrated food poisoning”. include. The lending history 81e indicates a library name indicating “Akita City XX Library”, a lending date indicating “July 14, 2004”, a user name indicating “Mr. E”, and “food poisoning to know and prevent”. The book title is included.

  That is, the lending histories 81a to 81c are extracted from the similar article 71a out of the lending history of library information existing in “Osaka Prefecture” extracted from the similar article 71a (FIG. 9) (June 26, 1999). The loan history 81d, 81e is extracted from the similar article 71b out of the library information loan history existing in “Akita Prefecture” extracted from the similar article 71b. It is searched that it is included in a predetermined period after the specified time (July 12, 2004).

  In addition, in addition to the information about the location extracted from the similar articles 71a and 71b, the rental history based on the terms included in the event of the news article (in the example of FIG. 8, "Yakiniku shop, food poisoning, diarrhea, vomiting, hospitalization") You may make it narrow down.

  Returning to the description of FIG. In step S5, the control unit 11 of the search server 2 searches for a loan history for a predetermined period, and then merges (integrates) the book names and the number of loans for all the libraries to obtain related loan history information (something similar to similar articles). (Lending history of books that seem to be related).

  FIG. 11 shows an example of the related lending history information acquired by the process of step S5 of FIG.

  In the related lending history information 91, the book title “Illustration food poisoning” has a total loan count of “35 times”, the book title “Knowing and preventing food poisoning” has a total loan count of “30 times”, and “food poisoning prevention must” "27 times" is the total number of loans, "Latest Java (registered trademark) script application" is the title "20 times" is the total number of loans, and "Easy Java (registered trademark) script" is the title " Total number of lending “18 times”, etc. are included.

  In this way, the related lending history information 91 including the book titles sorted in the descending order of the total number of lending and the total number of lending is acquired.

  Returning to the description of FIG. In step S6, the control unit 11 of the search server 2 acquires reference lending history information. The reference loan history information is, for example, the sum of the loan history of other libraries at the same time as the predetermined period in which the related loan history information is searched, or the relationship from the time when a similar article occurred to the predetermined period before This is the sum of library loan history.

  FIG. 11 shows an example of the reference lending history information acquired in the process of step S6 of FIG.

  In the reference lending history information 101, the book title “illustrated food poisoning” has a total of “2 times” lending, the book name “know to prevent food poisoning” has a total number of “3 times” lending, and “food poisoning prevention must” "0 times" is the total number of loans, "Latest Java (registered trademark) script application" is the book name "16 times" is the total number of loans, and "Easy Java (registered trademark) script" is the title " “20 times” total number of loans, etc. are included.

  Returning to the description of FIG. In step S7, the control unit 11 of the search server 2 compares the related lending history information 91 acquired in step S5 with the reference lending history information 101 acquired in step S6, and recommends a book to be recommended. Extract.

  More specifically, the control unit 11 of the search server 2 sets “35 times”, which is the total number of lending times for the book name, for the “illustrated food poisoning” with the largest total number of lending times included in the related lending history information 91, Compared with “2 times” which is the total number of times of lending for the book name “illustrated food poisoning” included in the lending history information 101, and if there is a lending increase tendency exceeding a predetermined threshold, the book is extracted as a recommended book. And the control part 11 of the search server 2 performs the same comparison about all the books contained in the related loan history information 91, and repeats an extraction process.

  The control unit 11 of the search server 2 compares the illustrated lending history information 91 in the example of FIG. 11 with the reference lending history information 101 in the example of FIG. A title such as “Preventive must” can be extracted as a recommended book. That is, the control unit 11 of the search server 2 determines the total number of book titles of “latest Java (registered trademark) script application” and “easy Java (registered trademark) script” included in the related loan history information 91 as a predetermined number. It is determined that there is no tendency to increase lending above the threshold (books with a large number of loans), and it can be removed from the recommended books.

  Returning to the description of FIG. In step S8, the control unit 11 of the search server 2 reads information about the recommended books extracted in the process of step S7 (for example, “illustrated food poisoning”, “knowing food poisoning to prevent”, “food poisoning prevention essential”, etc.) ) Is presented (returned) to the browsing terminal 4 via the network 5.

  The display unit 15 of the browsing terminal 4 can display information (not shown) regarding the recommended book received via the network 5. The user can easily grasp the recommended books related to the news article displayed on the news article browsing screen 61 (FIG. 8).

[Effects of the embodiment of the invention]
1. Analyzing news articles, finding similar news from events included in the news articles, finding related libraries from places, times, events, etc. included in similar news, and recommending books based on loan history of related libraries Can be searched and presented.
2. A more appropriate book can be recommended by narrowing the loan history based on the terms included in the news article.

[Modification]
1. In step S7 of FIG. 7, the control unit 11 of the search server 2 compares all the books included in the related lending history information 91 to determine whether or not there is a loan increase tendency that is equal to or greater than a predetermined threshold. Although all the books with the above-mentioned increase tendency of lending are extracted, this Embodiment is not restricted to this. For example, from the books included in the related lending history information 91, a book including an event (term) included in a news article in text data such as a book name and text is extracted, and the top n ranks in the extracted books Up to (n is a natural number) may be recommended books.
2. In the above description, the library book search system and the like have been described. For example, the library is replaced with a virtual bookstore opened on the Internet or a bookstore of a real store, and the loan history is replaced with the book sales history. It is also possible to apply.
3. When presenting a recommended book, a library where the book can be lent, a lending status, etc. may be presented.

  The preferred embodiments of the library book search system and the like according to the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to such examples. It will be apparent to those skilled in the art that various changes or modifications can be conceived within the scope of the technical idea disclosed in the present application, and these naturally belong to the technical scope of the present invention. Understood.

1 ......... Library book search system 2 ......... Search server 3 ......... DB server 4 ......... Viewing terminal 11 ......... Control unit 15 ... …… Display unit 21 ... …… Article database 22 ... …… Library information Database 23 ……… Lending history database

Claims (8)

In a library book search system in which a server and a terminal are connected via a network,
The server
Article storage means for storing news articles;
Library information storage means for storing information about the library;
Loan history storage means for storing book loan history information in the library;
Similar article search means for searching for a second news article similar to the first news article from the news articles stored in the article storage means based on terms contained in the first news article. When,
Library information related to the place out of the information about the library stored in the library information storage means based on the information about the place included in the second news article searched by the similar article search means. Related library information search means to search,
Based on the library information related to the place searched by the related library information search means and the information on the time included in the second news article, the loan history information stored in the loan history storage means Among them, related lending history information search means for searching for lending history information for a predetermined period after the time period,
A recommended book extracting means for extracting a recommended book based on the loan history information searched by the related loan history information search means,
The terminal
A library book search system, comprising: display control means for controlling display of the recommended book extracted by the recommended book extraction means of the server. In a library book search method of a library book search system in which a server and a terminal are connected via a network,
The server
An article storage step for storing news articles;
Library information storage step for storing information about the library;
A loan history storage step for storing book loan history information in the library;
Similar article search for searching for a second news article similar to the first news article from the news articles stored in the processing of the article storing step based on a term included in the first news article. Steps,
Based on the information about the place included in the second news article searched in the similar article search step, the information related to the place from the information about the library stored in the library information storage step Related library information search step for searching library information to be performed,
The lending stored in the lending history storing step based on the library information related to the place searched in the related library information searching step and information on the time included in the second news article. A related lending history information search step for searching lending history information for a predetermined period after the time period from history information;
A recommended book extraction step of extracting a recommended book based on the loan history information searched in the processing of the related loan history information search step,
The terminal
A library book retrieval method comprising: a display control step of controlling display of the recommended book extracted in the recommended book extraction step of the server. Article storage means for storing news articles;
Library information storage means for storing information about the library;
Loan history storage means for storing book loan history information in the library;
Similar article search means for searching for a second news article similar to the first news article from the news articles stored in the article storage means based on terms contained in the first news article. When,
Library information related to the place out of the information about the library stored in the library information storage means based on the information about the place included in the second news article searched by the similar article search means. Related library information search means to search,
Based on the library information related to the place searched by the related library information search means and the information on the time included in the second news article, the loan history information stored in the loan history storage means Among them, related lending history information search means for searching for lending history information for a predetermined period after the time period,
Based on the loan history information searched by the related loan history information search means, recommended book extraction means for extracting recommended books;
A library book retrieval device comprising: The library book search device according to claim 3, wherein the lending history information search means narrows down the searched lending history information based on the term included in the first news article. The library book search device according to claim 3 or 4, wherein the recommended book extracting unit extracts the recommended book by comparing the loan history information with reference loan history information. The library book search device according to claim 5, wherein the reference lending history information is a sum of lending histories of other libraries at the same time as the predetermined period. 6. The library book retrieval apparatus according to claim 5, wherein the reference lending history information is a sum of lending histories of related libraries from a time included in the second news article to a predetermined period before. . An article storage step for storing news articles;
Library information storage step for storing information about the library;
A loan history storage step for storing book loan history information in the library;
Similar article search for searching for a second news article similar to the first news article from the news articles stored in the processing of the article storing step based on a term included in the first news article. Steps,
Based on the information about the place included in the second news article searched in the similar article search step, the information related to the place from the information about the library stored in the library information storage step Related library information search step for searching library information to be performed,
The lending stored in the lending history storing step based on the library information related to the place searched in the related library information searching step and information on the time included in the second news article. A related lending history information search step for searching lending history information for a predetermined period after the time period from history information;
A recommended book extraction step of extracting a recommended book based on the loan history information searched in the processing of the related loan history information search step;
A program for causing a computer to execute processing including

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