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WO2017124264A1 - Procédé de collecte d'informations lors de la recommandation d'un livre, et système de recommandation de livre - Google Patents

Procédé de collecte d'informations lors de la recommandation d'un livre, et système de recommandation de livre Download PDF

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Publication number
WO2017124264A1
WO2017124264A1 PCT/CN2016/071282 CN2016071282W WO2017124264A1 WO 2017124264 A1 WO2017124264 A1 WO 2017124264A1 CN 2016071282 W CN2016071282 W CN 2016071282W WO 2017124264 A1 WO2017124264 A1 WO 2017124264A1
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WO
WIPO (PCT)
Prior art keywords
reader
book
unit
books
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/071282
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English (en)
Chinese (zh)
Inventor
杨瑛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to PCT/CN2016/071282 priority Critical patent/WO2017124264A1/fr
Publication of WO2017124264A1 publication Critical patent/WO2017124264A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the invention belongs to the field of intelligent libraries, and is an information collecting method and a book recommendation system when recommending books.
  • the number of invention patents applied by OPPO in 2014 was 938, while the number of invention patents of Tencent in the same period was 1,447.
  • the inventions of the two companies about 80% of the total number of invention patents related to user experience and direct user operations.
  • similar patent applications, including other companies based on user experience are also of a large order of magnitude, such as Huawei.
  • the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification.
  • core technologies such as CDMA underlying technology
  • market identification For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
  • the embodiment of the invention provides a method for collecting information when recommending a book, and the purpose is to It provides a relatively simple, fast and targeted method for searching books, and it also facilitates the timely and effective collection of related technologies by manufacturers.
  • a method of collecting information when recommending a book includes the following steps:
  • the book having the most repeated number of tags and not borrowed by the reader is recommended to the reader, and the technical usage data is sent to the data collection terminal preset by the manufacturer.
  • the embodiment of the invention further provides a book recommendation system, comprising:
  • a recording unit for recording books in the library and labels corresponding to the various books
  • a reading unit for reading the reader's ID information
  • a derivation unit wherein the input end is respectively connected to the output end of the recording unit and the output end of the reading unit, and is configured to count the label with the highest number of repetitions according to the borrowing history corresponding to the reader ID card;
  • a pushing unit whose input end is connected to the output end of the derivation unit, and is used for recommending to the reader a book having the most repeated number of tags and not borrowed by the reader;
  • the data collection unit has an input end connected to the output end of the push unit, and is configured to send technical use data to a data collection end preset by the manufacturer.
  • the invention allows the book recommendation system by matching the reader information with the recommended bibliography Being able to recognize the reader's reading preferences, so that the reader can accurately recommend the readers, so that the reader can retrieve the most useful information in the shortest time, find the relevant books as quickly as possible, and also facilitate the timely and effective collection by the manufacturer.
  • FIG. 1 is a schematic flow chart of a method for collecting information when recommending a book according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a book recommendation system according to an embodiment of the present invention.
  • FIG. 1 is a schematic flow chart of a method for collecting information when recommending a book according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
  • step S101 the books in the library and the tags corresponding to the various books are recorded.
  • tags can be set here to match multiple different reading needs. Such as setting label 1 (legal), label 2 (accounting), label 3 (movie) and so on.
  • step S102 the reader's ID card information is read, and the second generation ID card is required.
  • the magnetic induction on the ID card reading device and the second generation ID card can be used to interpret the information recorded on the second generation ID card, such as the ID number and name.
  • step S103 According to the borrowing history corresponding to the reader ID card, the label with the highest number of repetitions is counted. If the statistics are used up to the label 1, the reader often borrows the legal books, and if the statistics are used up to the label 3 Then, readers often borrow books from movies.
  • step S104 The book is recommended to the reader with the most frequently repeated tags and has not been borrowed by the reader, and the technical usage data is sent to the data collection terminal preset by the manufacturer.
  • the technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
  • the invention enables the book recommendation system to recognize the reader's reading preferences, thereby automatically recommending the readers accurately, so that the reader can retrieve the most useful information in the shortest time. Find the relevant books at the fastest speed, and also facilitate the timely and effective collection of relevant technologies by the manufacturers.
  • FIG. 2 is a schematic structural diagram of a book recommendation system according to an embodiment of the present invention, where the book recommendation system includes:
  • the recording unit 21 is configured to record the books in the library and the labels corresponding to the various books;
  • the reading unit 22 is configured to read the ID information of the reader
  • a derivation unit 23 having an input end and an output end of the recording unit 21 and the reading unit 22
  • the output connection is configured to count the label with the most repetition according to the borrowing history corresponding to the reader ID card;
  • Push unit 24 its input end and the derivation unit 23 An output connection for recommending to the reader a book having the most repeated number of tags and not borrowed by the reader;
  • the push unit may be connected through an electronic retrieval platform, and the pushed book catalog may be displayed on the electronic search platform or sent to the mobile phone through the information, which is a prior art.
  • Data acquisition unit 25 its input end and the push unit 24
  • the output connection is used to send technical usage data to the data acquisition terminal preset by the manufacturer.
  • the working principle is: the recording unit 21 is used for recording the books in the library and the labels corresponding to the various books; the reading unit 22 For reading the ID information of the reader; the deriving unit 23 is configured to count the label with the most repetition according to the borrowing history corresponding to the reader ID; the pushing unit 24 The book is used to recommend to the reader the book having the most repeated number of tags and not borrowed by the reader, and the data collecting unit 25 transmits the technical usage data to the data collection terminal preset by the manufacturer.
  • the invention enables the book recommendation system to recognize the reader's reading preferences, thereby automatically recommending the readers accurately, so that the reader can retrieve the most useful information in the shortest time. Find the relevant books at the fastest speed, and also facilitate the timely and effective collection of relevant technologies by the manufacturers.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne un procédé de collecte d'informations lorsqu'un livre est recommandé et un système de recommandation de livre, se rapportant au domaine des bibliothèques intelligentes. Le procédé comprend : l'enregistrement de livres dans une bibliothèque et d'étiquettes correspondant à divers types de livres (S101) ; la lecture d'informations relatives à une carte d'identité d'un lecteur (S102) ; conformément à un historique de prêt correspondant à la carte d'identité du lecteur, l'établissement de statistiques sur une étiquette ayant le plus grand nombre de répétitions (S103) ; la recommandation au lecteur du livre doté de l'étiquette ayant le plus grand nombre de répétitions et n'ayant pas été emprunté par le lecteur, et l'envoi de données d'utilisation de la technologie à une extrémité de collecte de données préétablie par un fabricant (S104). Grâce à la mise en correspondance d'informations de lecteur et d'une liste de livres à recommander, un système de recommandation de livre peut reconnaître et mémoriser des préférences de lecture d'un lecteur de façon à fournir automatiquement une recommandation précise au lecteur, ce qui permet au lecteur de récupérer les informations les plus utiles en un minimum de temps et de trouver des livres pertinents le plus rapidement possible. De plus, il est également pratique pour un fabricant de collecter efficacement, au bon moment, des conditions d'utilisation de la technique connexe.
PCT/CN2016/071282 2016-01-18 2016-01-18 Procédé de collecte d'informations lors de la recommandation d'un livre, et système de recommandation de livre Ceased WO2017124264A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/071282 WO2017124264A1 (fr) 2016-01-18 2016-01-18 Procédé de collecte d'informations lors de la recommandation d'un livre, et système de recommandation de livre

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/071282 WO2017124264A1 (fr) 2016-01-18 2016-01-18 Procédé de collecte d'informations lors de la recommandation d'un livre, et système de recommandation de livre

Publications (1)

Publication Number Publication Date
WO2017124264A1 true WO2017124264A1 (fr) 2017-07-27

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/071282 Ceased WO2017124264A1 (fr) 2016-01-18 2016-01-18 Procédé de collecte d'informations lors de la recommandation d'un livre, et système de recommandation de livre

Country Status (1)

Country Link
WO (1) WO2017124264A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116862101A (zh) * 2023-06-21 2023-10-10 北京兴源科创科技发展有限责任公司 一种基于智慧档案的图书数据管理系统
CN117407594A (zh) * 2023-12-12 2024-01-16 山东大学 一种图书信息推荐系统
CN118861433A (zh) * 2024-09-25 2024-10-29 江西跃山科技有限责任公司 一种基于混合推荐算法的图书推荐方法及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110197166A1 (en) * 2010-02-05 2011-08-11 Fuji Xerox Co., Ltd. Method for recommending enterprise documents and directories based on access logs
CN102902744A (zh) * 2012-09-17 2013-01-30 杭州东信北邮信息技术有限公司 一种图书推荐方法
CN102982131A (zh) * 2012-11-16 2013-03-20 杭州东信北邮信息技术有限公司 一种基于马尔科夫链的图书推荐方法
CN104111939A (zh) * 2013-04-18 2014-10-22 中国移动通信集团浙江有限公司 一种图书推荐方法和装置
CN105183727A (zh) * 2014-05-29 2015-12-23 上海研深信息科技有限公司 一种图书推荐方法及其系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110197166A1 (en) * 2010-02-05 2011-08-11 Fuji Xerox Co., Ltd. Method for recommending enterprise documents and directories based on access logs
CN102902744A (zh) * 2012-09-17 2013-01-30 杭州东信北邮信息技术有限公司 一种图书推荐方法
CN102982131A (zh) * 2012-11-16 2013-03-20 杭州东信北邮信息技术有限公司 一种基于马尔科夫链的图书推荐方法
CN104111939A (zh) * 2013-04-18 2014-10-22 中国移动通信集团浙江有限公司 一种图书推荐方法和装置
CN105183727A (zh) * 2014-05-29 2015-12-23 上海研深信息科技有限公司 一种图书推荐方法及其系统

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116862101A (zh) * 2023-06-21 2023-10-10 北京兴源科创科技发展有限责任公司 一种基于智慧档案的图书数据管理系统
CN117407594A (zh) * 2023-12-12 2024-01-16 山东大学 一种图书信息推荐系统
CN117407594B (zh) * 2023-12-12 2024-03-12 山东大学 一种图书信息推荐系统
CN118861433A (zh) * 2024-09-25 2024-10-29 江西跃山科技有限责任公司 一种基于混合推荐算法的图书推荐方法及系统

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