JP2014182579A - Information processing program, information processing method and device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To properly recommend a book relating to video content to a user.SOLUTION: This method includes processing for acquiring, through search, data relating to video scheduled to be broadcasted or disclosed and data relating to books related to the video, storing a video identification, a date scheduled to be broadcasted or disclosed, identification data of the books, and the quantity of the books in a first data storage part, reading a specific user's reading speed and reading frequency from a second data storage part for storing a corresponding user's reading speed and reading frequency in each user, calculating a period required by the specific user to read through each book from the quantity of each book with the identification data stored in the first data storage part and the read specific user's reading speed and reading frequency, specifying the book read through by the specific user from the period calculated about each book and the date scheduled to be broadcasted or disclosed, stored in the first data storage part, and transmitting the data relating to the specified book to the specific user.

Description

  The present technology relates to a technology for providing book recommendation information.

  Libraries often have one purpose to increase the library's usage rate by increasing the chances of users meeting and borrowing as many books as possible.

  In recent years, the visualization of books such as dramas and movies has increased. Some users have watched the video content before knowing the existence of the original video content book, and regretted that they should have read the original book first, or would like to read the original book first. However, sometimes I come across a TV broadcast and watch it.

  Such users may want to read through the original book before watching the video content, but often do not realize the visualization itself. Further, when the name of the program or movie to be visualized is different from the original book name, it is difficult to even know what the original book is.

  On the other hand, the library wants to lend a book when the user wants to borrow it. To that end, he wants to lend books as quickly as possible, and the more it becomes a topical book, the more it becomes. When the original book is widely known due to such announcement of visualization, the original book may be noticed again or suddenly attracted attention, and the lending of the book may be concentrated. In such a situation, it is desirable for the library side to provide as many users as possible with the opportunity to lend original books and related books by the scheduled broadcast date or the scheduled release date.

  However, reading speed, reading frequency, and personal circumstances are different for each user, and whether or not to finish reading the original book before the scheduled broadcast date or release date of the video content is different for each user. .

JP 2005-31943 A JP 2002-108185 A JP 2004-164097 A JP 2004-259233 A JP 2006-4409 A JP 2012-27763 A

  Therefore, according to one aspect, an object of the present technology is to provide a technology for enabling a user to appropriately recommend a book related to video content to a user.

  In the information processing method according to the present technology, (A) data related to a video scheduled to be broadcast or released and data related to a book related to the video are obtained by searching, and an identifier of the video, a broadcast or scheduled release date, and a book The identification data and the amount of the book are stored in the first data storage unit, and (B) from the second data storage unit that stores the reading speed and reading frequency of the user for each user, Read the reading frequency, and (C) a specific user for each book from the amount of each book whose identification data is stored in the first data storage unit and the reading speed and reading frequency of the read specific user Is calculated from the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit. Identify the book to be completely seen, it includes a process of transmitting to the particular addressed to the user data associated with the book identified (E).

  According to one aspect, a book related to video content can be appropriately recommended to a user.

FIG. 1 is a diagram illustrating an overview of a system according to an embodiment. FIG. 2 is a functional block diagram of the library server. FIG. 3 is a diagram illustrating an example of data stored in the user DB. FIG. 4 is a diagram illustrating an example of data stored in the lending DB. FIG. 5 is a diagram illustrating an example of data stored in the book DB. FIG. 6 is a diagram illustrating an example of data stored in the pace DB. FIG. 7 is a diagram illustrating an example of data stored in the broadcast schedule DB. FIG. 8 is a diagram showing a main processing flow according to the embodiment. FIG. 9 is a diagram illustrating an example of a menu screen. FIG. 10 is a diagram illustrating an example of a reading period designation page. FIG. 11 is a diagram illustrating a processing flow of video-related book extraction processing. FIG. 12 is a diagram illustrating a processing flow of related book extraction processing. FIG. 13 is a diagram illustrating an example of the association table. FIG. 14 is a diagram illustrating an example of the second association table. FIG. 15 is a diagram illustrating a processing flow of video-related book extraction processing. FIG. 16 is a diagram illustrating a processing flow of video-related book extraction processing. FIG. 17 is a diagram illustrating an example of an introduction page. FIG. 18 is a diagram illustrating another example of the introduction page. FIG. 19 is a functional block diagram of a computer.

  An overview of a system according to an embodiment of the present technology is shown in FIG. For example, one or a plurality of library terminals 5 and a library server 3 that executes main processing in the present embodiment are connected to a network 1 that is the Internet or a LAN (Local Area Network) in a library. When the network 1 is connected to a network outside the library such as the Internet or when the library LAN is released, the user terminal 7 may be connected. Further, in the present embodiment, since data related to the user's reading situation is collected, for example, a mobile terminal 9 such as a smartphone or a tablet is also connected to the library server 3 via the Internet or the like. Further, in the present embodiment, the network 1 is also connected with a search server 11 for performing an Internet search. Since such a function of the search server 11 is generally known, a description thereof is omitted here.

  The library terminal 5 is installed in, for example, a library hall, and includes, for example, a touch panel display unit. May have a hardware keyboard. The library terminal 5 is assumed to be running a Web browser. It is assumed that the user terminal 7 is also executing a Web browser. Further, a book reader program is installed in the portable terminal 9. When the reader program is executed, the book data is downloaded from the library server 3 and the book data is displayed on the display unit of the portable terminal 9. . Furthermore, the reader program transmits reading status data for calculating the reading frequency and reading speed of the user to the library server 3 at a predetermined timing. More specifically, after the reading of the book is completed, data such as the number of pages read, the reading time, and the reading days are transmitted to the library server 3.

  FIG. 2 shows a functional block diagram of the library server 3. The library server 3 includes a request processing unit 31, a data extraction unit 32, a data registration unit 39, a user database (DB) 33, a rental DB 34, a book DB 35, a pace DB 36, a broadcast schedule DB 37, and data storage. Part 38.

  For example, when the user logs in from the library terminal 5 or the user terminal 7, the request processing unit 31 generates web page data including the requested data and the like, and sends it to the requesting library terminal 5 and the user terminal 7. Send. Note that the request processing unit 31 may include data related to books in the web page data, and in this case, instructs the data extraction unit 32 to perform data extraction processing.

  As will be described below, the data extraction unit 32 uses the user DB 33, the lending DB 34, the book DB 35, the pace DB 36, the broadcast schedule DB 37, and the data storage unit 38, so that the video scheduled for broadcast or scheduled to be released is used. Data relating to the book related to the content is extracted and output to the request processing unit 31.

  Moreover, the data registration part 39 will register into pace DB36, for example, if the data regarding a user's reading condition are received from the portable terminal 9. FIG.

  For example, data as shown in FIG. 3 is stored in the user DB 33. In the example of FIG. 3, the user ID, password, name, address, and the like are registered for each user.

  Further, for example, data as shown in FIG. 4 is stored in the lending DB 34. In the example of FIG. 4, for each book ID, a book name, a borrowed user ID, a lending date, a return deadline (scheduled return date), and a lending status are registered.

  Further, the book DB 35 stores data as shown in FIG. 5, for example. In the example of FIG. 5, the book name, the author name, the publisher name, the total number of pages, and the book ID are registered. If there are a plurality of identical books, a plurality of book IDs are registered.

  The pace DB 36 stores data as shown in FIG. 6, for example. In the example of FIG. 6, the user ID, the reading status data including the book name, the actual reading time, the actual reading days, and the total number of pages for each read book, the overall average reading frequency, and the overall average reading speed are registered. It has come to be. When the reading status data including the book name, the actual reading time, the actual reading days, and the total number of pages is received from the portable terminal 9, the data registration unit 39 associates the user ID of the user of the portable terminal 9 with the pace DB 36. sign up. Further, the data registration unit 39 calculates and registers the total average reading frequency by the total of the actual reading time / the total of the actual reading days, and further calculates the total average reading speed by the total of the actual reading time × 60 / the total number of pages. Is calculated and registered. Such processing is not the main part of the present embodiment and will not be described further.

  Further, the broadcast schedule DB 37 stores data as shown in FIG. 7, for example. In the example of FIG. 7, a program name, a broadcast station name, an announcement date, and a scheduled broadcast date are registered. In this embodiment, a TV drama program is taken as an example of video content, but it may be a movie broadcast, a movie theater release, or the like. Furthermore, as will be described later, not a drama program, but a program belonging to another category, such as travel reports, animal relations, sports relations, and the like may be used.

  Next, processing contents of the system shown in FIG. 1 will be described with reference to FIGS. For the following processing, the user has already operated the library terminal 5 (may be the user terminal 7 or the portable terminal 9) to log in to the library server 3, and the library server 3 side is the access source user. It is assumed that the user ID is identified.

  First, when the library terminal 5 accesses the menu page according to an instruction from the user (FIG. 8: step S1), the request processing unit 31 of the library server 3 returns the menu page data to the requesting library terminal 5 (step). S3). The library terminal 5 receives the menu page data from the library server 3 and displays it on the display unit (step S5).

  For example, a screen display as shown in FIG. 9 is performed. In the screen example of FIG. 9, menu items include items such as messages from the library, reservation status, books to be dramaized and rankings as introductions of books.

  Here, when the user selects a menu item called a book to be dramaized (introduction of a video-related book if generalized), the library terminal 5 accepts an instruction to select a menu item called introduction of a video-related book, Is sent to the library server 3 (step S7). When the request processing unit 31 of the library server 3 receives a selection instruction for introducing a video-related book from the library terminal 5 (step S9), the request processing unit 31 transmits the specified page data for the reading period to the library terminal 5. (Step S11).

  When the library terminal 5 receives the designated page data for the reading period from the library server 3, the library terminal 5 displays it on the display unit (step S13). For example, a screen as shown in FIG. 10 is displayed. In the example of FIG. 10, a button for notifying that the reading period is specified, a button for notifying that the reading period is not specified, and the first and last days of the reading period when the reading period is specified. And a pull-down for designating.

  When not specifying the reading period, the user presses a button for that purpose, and when specifying the reading period, the user specifies the first day and the last day of the reading period and then presses the button for that purpose.

  The library terminal 5 accepts a reading period designation (including no designation) from the user, and transmits reading period designation data to the library server 3 (step S15). When the request processing unit 31 of the library server 3 receives the reading period designation data from the library terminal 5 (step S <b> 17), the data extraction unit 32 sends a video-related book extraction request including the user ID and the reading period designation data. Output.

  Upon receiving the video-related book extraction request, the data extraction unit 32 executes video-related book extraction processing (step S19). This video-related book extraction process will be described with reference to FIGS.

  First, the data extraction part 32 performs a related book extraction process (FIG. 11: step S31). The related book extraction process will be described with reference to FIGS.

  First, the data extraction unit 32 reads one unprocessed record from the broadcast schedule DB 37 (FIG. 12: step S151). Then, the data extraction unit 32 requests the search server 11 to search for the program introduction page based on the data included in the read record (step S153). Then, the data extraction unit 32 receives the search result from the search server 11. For example, a search request including a program name and a broadcast station name as search conditions is output to the search server 11 and a search corresponding to the search request is executed.

  Thereafter, the data extraction unit 32 determines whether or not the search result from the search server 11 includes some search data for the read record (step S155). If the search result from the search server 11 does not include any search data for the read record, the process proceeds to step S165.

  On the other hand, when the search result from the search server 11 includes some search data for the read record, the data extraction unit 32 extracts the original book name, author name, and publisher name from the extracted program introduction page. The process of extracting from the data is executed (step S157). For example, the process of collecting program introduction page data and linked page data, and extracting the original book name, author name, and publisher name from the collected data using a technique such as text mining. Execute.

  Then, the data extracting unit 32 determines whether or not the original book name, author name, and publisher name have been extracted in step S157 (step S159). If the original book name, author name, and publisher name cannot be extracted, the process proceeds to step S165. Even if the publisher name cannot be extracted, it may be determined that the original book name and the author name may be extracted. If they cannot be extracted, the process proceeds to step S165.

  On the other hand, when the original book name, the author name, and the publisher name can be extracted, the data extraction unit 32 searches the book DB 35 with the extracted original book name, the author name, and the publisher name, and acquires the book ID and the total number. The number of pages is extracted (step S161). Then, the data extraction unit 32 registers the record data read from the broadcast schedule DB 37 and the extracted data in the association table in the data storage unit 38 (step S163).

  For example, an association table as shown in FIG. 13 is generated. In the example of FIG. 13, the program name, original book name, author name, publisher name, scheduled broadcast date, number of days, total number of pages, and book ID are registered. The program name and the scheduled broadcast date are data extracted from the broadcast planned DB 37, the original book name, the author name, and the publisher name are data obtained by web search, etc. This is data extracted from the book DB 35. The number of days is set by the following process.

  Then, the data extraction unit 32 determines whether or not an unprocessed record (a record that exists in the broadcast schedule DB 37 and does not have a record in the association table) exists in the broadcast schedule DB 37 (step S165). If there is an unprocessed record, the process returns to step S151. If there is no unprocessed record, the process returns to the caller process (step S31).

  By performing the processing as described above, book data related to the video can be obtained.

  Note that such processing may not be executed every time the user accesses, but may be executed as a pre-processing once a day, for example. Alternatively, it may be executed every time the broadcast schedule DB 37 is updated.

  Further, instead of the processing described above, for example, electronic program guide data may be received by broadcasting or via the network 1, and related books may be extracted for each program. That is, since the electronic program guide data includes explanations about program names, categories, and broadcast contents, books with high similarity may be specified from these data. For example, if it is a program about Hokkaido travel, books related to Hokkaido are extracted, and if it is a program about Panda, books related to Panda are retrieved from the search server 11 or the book DB 35 in which data is expanded. You may make it extract. Furthermore, the movie release schedule or broadcast schedule may be registered in the broadcast schedule DB 37, and the association table may be generated by the same processing. As for categories, user preferences may be registered in the user DB 33 in advance, and only programs and books that match the categories may be extracted.

  Returning to the description of the processing in FIG. 11, the data extraction unit 32 determines whether a record is included in the association table (step S33). If the record is not included in the association table, that is, if a book related to the video is not found, the process proceeds to the process of FIG.

  On the other hand, when a record is included in the association table, the data extraction unit 32 searches the loan DB 34 with the book ID in each record of the association table (step S35). Then, the data extraction unit 32 determines whether there are unrented books (step S37). For example, in the copy table of the association table (hereinafter referred to as the second association table), whether the book ID remains in any record in the second association table by deleting the book ID of the book that is being lent. Judge whether or not. If there is an unrented book, the process proceeds to the process of FIG.

  On the other hand, if there are no unrented books, the data extraction unit 32 searches the book DB 35 with the original book name and author name of each record in the association table, and extracts the same book with a different publisher name. (Step S39). The data extraction unit 32 determines whether there is a book additionally extracted in step S39 (step S41). If there is no additionally extracted book, the process proceeds to the process of FIG. On the other hand, when there is an additionally extracted book, the data extraction unit 32 searches the loan DB 34 with the book ID of the additionally extracted book (step S43). Then, the data extraction unit 32 determines whether there is an unrented book among the additionally extracted books (step S45). If there is no unrented book, the process proceeds to the process of FIG. On the other hand, if there is an unrented book, the process proceeds to the process of FIG. Note that the second association table described above is updated with the data of unrented books. That is, the publisher name is replaced with the publisher for the unrented book, the total number of pages is replaced with the total number of pages for the unrented book, and the book ID is replaced with the book ID of the unrented book. . A record for which no book ID is registered because it has been lent may be deleted.

  Further, the processing in steps S39 to S45 is executed when there is no unrented book for any original book in the association table, but for each original book for which there is no unrented book. You may make it perform.

  For example, the second association table is changed from the association table shown in FIG. 13 to the table shown in FIG. In this example, since no book ID is included for the book of “level 6”, there is no unrented book. One book ID has also been deleted for the “Sweets Murder Case”. Furthermore, the publisher, the page number, and the book ID are also replaced for the “love weather”, and the book data of different publishers is obtained.

  The processing shifts to the processing of FIG. 15 via the terminal B, and the data extraction unit 32 searches the pace DB 36 with the user ID of the requesting user, and obtains data of the user's overall average reading speed and overall average reading frequency. Extract (step S47). If data cannot be extracted in this step, the process shown in FIG.

  Then, the data extraction unit 32 determines, from the total number of pages, the overall average reading speed of the requesting user, and the overall average reading frequency, for each of the original books in which the unrented books exist in the second association table until the reading is completed. The number of days is calculated (step S49). Specifically, the total number of pages × total average reading speed / 60 / total average reading frequency is used to calculate the number of days until reading is completed. Here, for example, the first number of days from the current date to the scheduled broadcast date and the second number of days until the end of reading are registered in the second association table. For example, in the case of “Sweets Murder Case” in FIG. 14, if the current date is May 10, 2012, the first number of days is “5” and the second number of days is “3”. That is, the second number of days differs for each user.

  And the data extraction part 32 judges whether there exists designation | designated of the reading period by a user (step S51). When the reading period is designated by the user, the data extraction unit 32 selects an original book whose scheduled broadcast date is after the end of the reading period and finishes reading in the designated reading period among the original books with unrented books. Extract (step S53). It is determined whether or not the reading is completed by the scheduled broadcast date in consideration of the user's convenience. Then, the processing shifts to the processing in FIG.

  On the other hand, when the reading period is not designated by the user, the data extraction unit 32 searches the lending DB 34 with the user ID and determines whether there is another book that is being lent (step S55). If there are other books that are being lent, the data extraction unit 32 identifies the date on which the scheduled return date is the latest among the rented books (step S57). Then, the data extraction unit 32 extracts the original book in which the scheduled broadcast date is set after the second number of days (the number of days calculated in step S49) from the specified date (step S59). In this way, it is possible to avoid an inefficient phenomenon such as returning a book that is currently borrowed without reading it. Then, the processing shifts to the processing in FIG.

  On the other hand, when there are no other books that are lent out, the data extraction unit 32 selects an original book whose scheduled broadcast date is set after the second day (the number of days calculated in step S49) from today. Extract (step S61). Specifically, it is determined whether or not the first number of days> the second number of days. Then, the processing shifts to the processing in FIG.

  Moving to the description of the processing in FIG. 16, the data extraction unit 32 determines whether the original book has been extracted in any of steps S53, S59, or S61 (step S63). If not extracted, the data extraction unit 32 outputs data indicating that there is no corresponding book to the request processing unit 31. Then, the request processing unit 31 generates page data including a message indicating that there is no corresponding book (step S67). Then, the process returns to the caller process (step S19).

  On the other hand, when the original book is extracted, the data extraction unit 32 outputs the extracted original book data and program data related to the original book to the request processing unit 31. The request processing unit 31 generates introduction page data including data of the extracted original book and program data related to the original book (step S65). Then, the process returns to the caller process (step S19).

  In this way, it is possible to extract the data of the book estimated to be read by the scheduled broadcast date or the scheduled release date related to the video content scheduled to be broadcast or released, and present it. Presenting a book that does not finish reading does not lead to efficient book lending on the library side, and this is avoided because it is inappropriate to give the user awareness.

  Returning to the process of FIG. 8, the request processing unit 31 transmits the introduction page data to the library terminal 5 that is the request source (step S21). The library terminal 5 receives the introduction page data from the library server 3 and displays it on the display unit (step S23).

  For example, a screen as shown in FIG. 17 is displayed. In the example of FIG. 17, a message including the original book name and author name, the program name, and the first number of days is displayed. Although only one book is presented here, a plurality of original books may be presented as long as there are a plurality of extracted original books. On the other hand, in the case of the user “Honda” whose reading frequency is lower than that of the user “Yamada”, reading of the book after 5 days is not finished, so a screen as shown in FIG. 18 is displayed. In FIG. 18, an original book about a program having a larger number of first days is introduced. Note that the scheduled broadcast date may be used instead of the first number of days. Further, the second number of days may be presented.

  Although the embodiment of the present technology has been described above, the present technology is not limited to this. For example, as for the processing flow, as long as the processing result does not change, the order of the processing steps may be changed, or a plurality of processing steps may be executed in parallel.

  Furthermore, although the web-based system has been described, for example, a dedicated application may be installed and executed on the terminal side. The functional block diagram of FIG. 2 is also an example, and may not match the program module configuration and the database configuration.

  Further, the functions of the library server 3 described above may be implemented by a plurality of computers.

  Furthermore, although the example which the data extraction part 32 performs about the related book extraction process was shown, when performing beforehand, you may make it provide a pre-processing part separately. In addition, the introduction of books may be performed by e-mail or the like.

  In addition, as an element of further narrowing down the books to be introduced, information on the target layer of the drama (performers, broadcast times, genres, etc. shall be released at the place of drama production announcements, etc.) Characteristics (age, gender, occupation, DVD or book history borrowed in the past, etc.) may be stored in the DB, and the book that best suits the user may be provided as a recommended book. For example, performer: the condition that the same actor appears on a DVD borrowed in the past, the condition that the lead and the user are the same age, airing time: if it is a daytime drama, the possibility of watching the drama at home in the daytime It may be narrowed down according to the condition for a full-time housewife who is high, genre: a condition for men if it is a battle, and a condition for kids if it is animated.

  The library server 3, library terminal 5, user terminal 7 and search server 11 described above are computer devices, and as shown in FIG. 19, a memory 2501, a CPU (Central Processing Unit) 2503, a hard disk drive, and the like. A bus 2519 includes an HDD (Hard Disk Drive) 2505, a display control unit 2507 connected to the display device 2509, a drive device 2513 for the removable disk 2511, an input device 2515, and a communication control unit 2517 for connecting to a network. It is connected. An operating system (OS) and an application program for executing the processing in this embodiment are stored in the HDD 2505, and are read from the HDD 2505 to the memory 2501 when executed by the CPU 2503. The CPU 2503 controls the display control unit 2507, the communication control unit 2517, and the drive device 2513 according to the processing content of the application program, and performs a predetermined operation. Further, data in the middle of processing is mainly stored in the memory 2501, but may be stored in the HDD 2505. In an embodiment of the present technology, an application program for performing the above-described processing is stored in a computer-readable removable disk 2511 and distributed, and installed from the drive device 2513 to the HDD 2505. In some cases, the HDD 2505 may be installed via a network such as the Internet and the communication control unit 2517. Such a computer apparatus realizes various functions as described above by organically cooperating hardware such as the CPU 2503 and the memory 2501 described above and programs such as the OS and application programs. .

  The above-described embodiment can be summarized as follows.

  In the information processing method according to the present embodiment, (A) data related to a video scheduled to be broadcasted or released and data related to a book related to the video are obtained by searching, and an identifier of the video and a scheduled broadcast or release date are obtained. The identification data of the book and the amount of the book are stored in the first data storage unit, and (B) a specific user's reading from the second data storage unit that stores the reading speed and reading frequency of the user for each user. Read the speed and reading frequency, and (C) specify each book from the amount of each book whose identification data is stored in the first data storage unit and the reading speed and reading frequency of the read specific user (D) a specific user is calculated from the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit. Identify the book The finishes reading, including a process of transmitting to the particular addressed to the user data associated with the book identified (E).

  In this way, it is possible to provide the specific user with the data of the book that is estimated to be read by the specific user by the broadcast or scheduled release date among the books related to the video content. Can be recommended.

  Further, in the process of calculating the period described above or the process of specifying the book described above, the first data storage unit based on the third data storage unit that stores the presence / absence of lending for each identification data of the book You may make it narrow down the book in which identification data is stored in. In this way, efficient use of unrented books can be achieved like a library.

  Further, the process for specifying the book described above is based on the fourth data storage unit that stores (d1) the identifier of the borrowed user and the return deadline in association with the identification data of the book. If other books are borrowed, the latest return deadline of the other books is specified, and (d2) the period from the latest return deadline to the broadcast or release date is longer than the calculated period It may be possible to include a process for determining whether or not. If it does in this way, according to the book rental condition of a specific user, information will be provided so that the book currently lent may not be wasted.

  Furthermore, the transmission process described above may transmit data related to the video corresponding to the specified book to a specific user. The data relating to the video is, for example, a program name, a scheduled broadcast date, and the like, thereby enhancing the motivation for borrowing a book.

  It is possible to create a program for causing a computer to carry out the processing described above, such as a flexible disk, an optical disk such as a CD-ROM, a magneto-optical disk, and a semiconductor memory (for example, ROM). Or a computer-readable storage medium such as a hard disk or a storage device. Note that data being processed is temporarily stored in a storage device such as a RAM.

  The following supplementary notes are further disclosed with respect to the embodiments including the above examples.

(Appendix 1)
Data related to a video scheduled to be broadcast or released and data related to a book related to the video are obtained by searching, and an identifier of the video, a scheduled date of broadcasting or release, identification data of the book, and an amount of the book are obtained. 1 in the data storage unit,
Read the reading speed and reading frequency of a specific user from the second data storage unit that stores the reading speed and reading frequency of the user for each user,
From the amount of each book whose identification data is stored in the first data storage unit and the reading speed and reading frequency of the read specific user until the specific user finishes reading the book To calculate the period of time
From the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit, identify the book that the specific user finishes reading,
A program for causing a computer to execute a process of transmitting data related to the specified book to the specific user.

(Appendix 2)
In the process of calculating the period or the process of specifying the book,
The program according to supplementary note 1, wherein a book in which identification data is stored in the first data storage unit is narrowed down based on a third data storage unit that stores presence / absence of lending for each identification data of the book.

(Appendix 3)
The process of identifying the book is
If the specific user borrows another book based on the fourth data storage unit that stores the identifier of the borrowed user and the return deadline in association with the identification data of the book, the other book is returned. Identify the latest return deadline,
The program according to appendix 1 or 2, including a process for determining whether a period from the latest return deadline to the broadcast or scheduled release date is longer than the calculated period.

(Appendix 4)
The process to send is
The program according to any one of appendices 1 to 3, including a process of transmitting data relating to a video corresponding to the specified book to the specific user.

(Appendix 5)
Data related to a video scheduled to be broadcast or released and data related to a book related to the video are obtained by searching, and an identifier of the video, a scheduled date of broadcasting or release, identification data of the book, and an amount of the book are obtained. 1 in the data storage unit,
Read the reading speed and reading frequency of a specific user from the second data storage unit that stores the reading speed and reading frequency of the user for each user,
From the amount of each book whose identification data is stored in the first data storage unit and the reading speed and reading frequency of the read specific user until the specific user finishes reading the book To calculate the period of time
From the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit, identify the book that the specific user finishes reading,
An information processing method including a process of transmitting data related to the specified book to the specific user and executed by a computer.

(Appendix 6)
Data related to a video scheduled to be broadcast or released and data related to a book related to the video are obtained by searching, and an identifier of the video, a scheduled date of broadcasting or release, identification data of the book, and an amount of the book are obtained. The first data storage unit reads out the reading speed and reading frequency of a specific user from a second data storage unit that stores the reading speed and reading frequency of the user for each user. From the amount of each book in which the identification data is stored in and the reading speed and reading frequency of the specific user that has been read, the period of time until the specific user finishes reading for each book is calculated, The specific user reads from the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit. A data extraction unit that specifies the Waru books,
A transmission unit that transmits data related to the identified book to the specific user;
An information processing apparatus.

31 Request processing unit 32 Data extraction unit 33 User DB
34 Rental DB
35 Book DB
36 pace DB
37 Broadcast Schedule DB
38 Data storage unit 39 Data registration unit

Claims (6)

Data related to a video scheduled to be broadcast or released and data related to a book related to the video are obtained by searching, and an identifier of the video, a scheduled date of broadcasting or release, identification data of the book, and an amount of the book are obtained. 1 in the data storage unit,
Read the reading speed and reading frequency of a specific user from the second data storage unit that stores the reading speed and reading frequency of the user for each user,
From the amount of each book whose identification data is stored in the first data storage unit and the reading speed and reading frequency of the read specific user until the specific user finishes reading the book To calculate the period of time
From the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit, identify the book that the specific user finishes reading,
A program for causing a computer to execute a process of transmitting data related to the specified book to the specific user. In the process of calculating the period or the process of specifying the book,
The program according to claim 1, wherein a book in which identification data is stored in the first data storage unit is narrowed down based on a third data storage unit that stores the presence / absence of lending for each identification data of the book. The process of identifying the book is
If the specific user borrows another book based on the fourth data storage unit that stores the identifier of the borrowed user and the return deadline in association with the identification data of the book, the other book is returned. Identify the latest return deadline,
The program according to claim 1 or 2, further comprising: determining whether a period from the latest return deadline to the broadcast or scheduled release date is longer than the calculated period. The process to send is
The program according to any one of claims 1 to 3, including a process of transmitting data relating to an image corresponding to the specified book to the specific user. Data related to a video scheduled to be broadcast or released and data related to a book related to the video are obtained by searching, and an identifier of the video, a scheduled date of broadcasting or release, identification data of the book, and an amount of the book are obtained. 1 in the data storage unit,
Read the reading speed and reading frequency of a specific user from the second data storage unit that stores the reading speed and reading frequency of the user for each user,
From the amount of each book whose identification data is stored in the first data storage unit and the reading speed and reading frequency of the read specific user until the specific user finishes reading the book To calculate the period of time
From the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit, identify the book that the specific user finishes reading,
An information processing method including a process of transmitting data related to the specified book to the specific user and executed by a computer. Data related to a video scheduled to be broadcast or released and data related to a book related to the video are obtained by searching, and an identifier of the video, a scheduled date of broadcasting or release, identification data of the book, and an amount of the book are obtained. The first data storage unit reads out the reading speed and reading frequency of a specific user from a second data storage unit that stores the reading speed and reading frequency of the user for each user. From the amount of each book in which the identification data is stored in and the reading speed and reading frequency of the specific user that has been read, the period of time until the specific user finishes reading for each book is calculated, The specific user reads from the period calculated for each book and the broadcast or scheduled release date of each book stored in the first data storage unit. A data extraction unit that specifies the Waru books,
A transmission unit that transmits data related to the identified book to the specific user;
An information processing apparatus.

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