CN106649879A - Method for intelligent recommendation of professional book in library - Google Patents
Method for intelligent recommendation of professional book in library Download PDFInfo
- Publication number
- CN106649879A CN106649879A CN201710013747.4A CN201710013747A CN106649879A CN 106649879 A CN106649879 A CN 106649879A CN 201710013747 A CN201710013747 A CN 201710013747A CN 106649879 A CN106649879 A CN 106649879A
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The invention discloses a method for intelligent recommendation of a professional book in a library. In the method, a user searching evaluation module, a library intelligent recommendation matching module and a user returning feedback module are comprised. The method comprises the steps: a user selects the professional field of a needed book according to his own demand, provides one to five keywords, completing a brief questionnaire of a large class of related books and finally submits the questionnaire; a library intelligent database searches books matched with the keywords input by the user, analyzes a knowledge module of the user according to the user questionnaire and matches a book list which is suitable for the user; when returning the book, the user gives feedback according to reading situations, and the system gives out the recommendation situation with high difficulty according to the feedback situation and a borrowed book and stores user data.
Description
Technical field
The present invention relates to a kind of method of Library sysem books intelligent recommendation.
Background technology
Modern Library all uses intelligentized management system, generally all has the function of query and search, but, due to figure
The huge increasing of book amount, same class books have multiple different editions, and the suitable books of oneself needs flower on the contrary is selected for a user
Take substantial amounts of time and efforts, how to have become many users to the suitable books of oneself from quick-pick in the books of magnanimity
Worry.At present, libraries of the universities have a substantial amounts of professional book, but due to the professional book version for same theory it is numerous
Many and content it is professional uneven, the intelligent recommendation function for professional book is lacked in library management system.
The content of the invention
The invention aims to the efficiency that user selects a certain field professional book is improved, according to the special of each user
Industry acquisition of knowledge degree intelligent recommendation is best suitable for the professional book of user.
To achieve these goals, employ the following technical solutions, a kind of method master of Library sysem books intelligent recommendation
Including:User searches for evaluation module, library's intelligent recommendation matching module, user's also book feedback module;
Above-mentioned user searches for evaluation module:User provides according to the demand of oneself, the professional book big class required for selecting
1 to 5 keywords;Primary retrieval is done according to keyword, primary retrieval is provided and arranged with the books of Keywords matching, according to once
Retrieval is chased after and matches to obtain book contents and a related questionnaire problem of user's keyword generation;User completes questionnaire problem, according to
The questionnaire of user selects accuracy to evaluate acquisition of knowledge degree of the user in the field;
Above-mentioned library's intelligent recommendation matching module is:The database that library carries is in typing professional book according to special
The complexity of industry book contents be divided into it is excellent, good, in, difference grade, intelligent recommendation matching module on the basis of primary retrieval,
Corresponding professional book is matched according to acquisition of knowledge degree of the user in the field, according to matching degree order row from high to low
Row;
Above-mentioned user also book feedback module:A feedback selection window is functionally provided the user in library system also book, is used
Family provides Feedback Evaluation according to reading conditions, and it is higher by one that system borrows the difficulty provided on the basis of books according to feedback and
The books recommendation order of level simultaneously preserves user data.
The present invention has the advantages that:
By questionnaire analysis user in the ' Current Knowledge Regarding of a certain professional domain, draw with reference to the search that book management system is carried
Hold up, be that user selects suitable professional book and provides optimum suggested design for user's selection, user search can be saved, selected specially
The time of industry books.
Description of the drawings
Fig. 1:For the structural representation of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the invention will be further described with specific embodiment.
As shown in figure 1, a kind of method of Library sysem books intelligent recommendation, including:User searches for evaluation module, books
Shop intelligent recommendation matching module, user's also book feedback module;
Library users had a direction and search key substantially before oneself related books of a certain specialty is selected, and used
Family is opened books pipe management system and selects the professional domain of oneself, and is input into the search key of oneself;
System is done primary retrieval, searches corresponding books according to keyword, then feeds back one according to book contents and keyword
Knowledge hierarchy questionnaire is to user;
User is completed after questionnaire, and system is evaluated the structure of knowledge of user according to questionnaire accuracy, evaluation result include it is excellent,
It is good, in, differ from four grades, corresponding books be also divided into before typing library data base it is excellent, good, in, differ from four
Grade;Match the books grade in a Search Results again according to user's questionnaire rating result, be user row according to matching degree
The result of row primary retrieval, user selects the books oneself wanted according to recommendation and borrows;
When user gives back books, book returning system needs user to make reading conditions feedback according to Borrow Situation, and system is preserved to be used
Data are borrowed at family, and be given than last time borrow the big one-level of books difficulty borrow recommendation list.
Claims (1)
1. a kind of method of Library sysem books intelligent recommendation, it is characterised in that:Evaluation module, library are searched for including user
Intelligent recommendation matching module, user's also book feedback module;
Above-mentioned library's intelligent recommendation matching module is:Module carries search engine functionality, in the database that library carries
Search searches for evaluation module with above-mentioned user:User carries according to the demand of oneself, the professional book big class required for selecting
For 1 to 5 keywords;Primary retrieval is done according to keyword, primary retrieval is provided and arranged with the books of Keywords matching, according to one
Secondary retrieval is chased after and matches to obtain book contents and a related questionnaire problem of user's keyword generation;User completes questionnaire problem, root
According to user questionnaire select accuracy evaluate user the field acquisition of knowledge degree, be divided into it is excellent, good, in, differ from four grades;
Above-mentioned library's intelligent recommendation matching module is:The database that library carries is in typing professional book according to special
The complexity of industry book contents be divided into it is excellent, good, in, difference grade, intelligent recommendation matching module on the basis of primary retrieval,
Corresponding professional book is matched according to acquisition of knowledge degree of the user in the field, according to matching degree order row from high to low
Row;
Above-mentioned user also book feedback module:A feedback selection window is functionally provided the user in library system also book, is used
Family provides Feedback Evaluation according to reading conditions, and it is higher by one that system borrows the difficulty provided on the basis of books according to feedback and
The books recommendation order of level simultaneously preserves user data.
Priority Applications (1)
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CN201710013747.4A CN106649879A (en) | 2017-01-10 | 2017-01-10 | Method for intelligent recommendation of professional book in library |
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CN201710013747.4A CN106649879A (en) | 2017-01-10 | 2017-01-10 | Method for intelligent recommendation of professional book in library |
Publications (1)
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CN106649879A true CN106649879A (en) | 2017-05-10 |
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CN201710013747.4A Pending CN106649879A (en) | 2017-01-10 | 2017-01-10 | Method for intelligent recommendation of professional book in library |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108052552A (en) * | 2017-11-28 | 2018-05-18 | 苏州市东皓计算机系统工程有限公司 | A kind of book recommendation system |
CN109727411A (en) * | 2018-12-13 | 2019-05-07 | 广州万升信息科技有限公司 | It is authenticated based on recognition of face, barcode scanning, the book borrowing system of human body sensing |
CN109992602A (en) * | 2019-04-02 | 2019-07-09 | 海南颖川科技有限公司 | Juvenile's digital reading guiding apparatus |
CN110288502A (en) * | 2018-08-07 | 2019-09-27 | 福州米鱼信息科技有限公司 | A kind of personal academic service system and its implementation |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20010088637A (en) * | 2001-08-16 | 2001-09-28 | 이승현 | System and method for managing a reading study over network |
KR20120007693A (en) * | 2010-07-15 | 2012-01-25 | 에스케이 텔레콤주식회사 | Book providing service system and method thereof |
CN103294816A (en) * | 2013-06-09 | 2013-09-11 | 广东倍智人才管理咨询有限公司 | Method and system for recommending positions for job seeker |
CN103399886A (en) * | 2013-07-22 | 2013-11-20 | 北京工业大学 | Digital library implementing method |
CN103853758A (en) * | 2012-11-30 | 2014-06-11 | 英业达科技有限公司 | System and method for cloud server to push data |
CN105070130A (en) * | 2015-08-04 | 2015-11-18 | 北京优宇通教育科技有限公司 | Level assessment method and level assessment system |
CN105787839A (en) * | 2016-03-23 | 2016-07-20 | 成都准星云学科技有限公司 | Method and device for pushing learning resources |
CN106202453A (en) * | 2016-07-13 | 2016-12-07 | 网易(杭州)网络有限公司 | A kind of multimedia resource recommends method and apparatus |
-
2017
- 2017-01-10 CN CN201710013747.4A patent/CN106649879A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20010088637A (en) * | 2001-08-16 | 2001-09-28 | 이승현 | System and method for managing a reading study over network |
KR20120007693A (en) * | 2010-07-15 | 2012-01-25 | 에스케이 텔레콤주식회사 | Book providing service system and method thereof |
CN103853758A (en) * | 2012-11-30 | 2014-06-11 | 英业达科技有限公司 | System and method for cloud server to push data |
CN103294816A (en) * | 2013-06-09 | 2013-09-11 | 广东倍智人才管理咨询有限公司 | Method and system for recommending positions for job seeker |
CN103399886A (en) * | 2013-07-22 | 2013-11-20 | 北京工业大学 | Digital library implementing method |
CN105070130A (en) * | 2015-08-04 | 2015-11-18 | 北京优宇通教育科技有限公司 | Level assessment method and level assessment system |
CN105787839A (en) * | 2016-03-23 | 2016-07-20 | 成都准星云学科技有限公司 | Method and device for pushing learning resources |
CN106202453A (en) * | 2016-07-13 | 2016-12-07 | 网易(杭州)网络有限公司 | A kind of multimedia resource recommends method and apparatus |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108052552A (en) * | 2017-11-28 | 2018-05-18 | 苏州市东皓计算机系统工程有限公司 | A kind of book recommendation system |
CN110288502A (en) * | 2018-08-07 | 2019-09-27 | 福州米鱼信息科技有限公司 | A kind of personal academic service system and its implementation |
CN109727411A (en) * | 2018-12-13 | 2019-05-07 | 广州万升信息科技有限公司 | It is authenticated based on recognition of face, barcode scanning, the book borrowing system of human body sensing |
CN109727411B (en) * | 2018-12-13 | 2019-12-20 | 广州万升信息科技有限公司 | Book borrowing system based on face recognition, code scanning authentication and human body induction |
CN109992602A (en) * | 2019-04-02 | 2019-07-09 | 海南颖川科技有限公司 | Juvenile's digital reading guiding apparatus |
CN109992602B (en) * | 2019-04-02 | 2023-05-16 | 海南颖川科技有限公司 | Digital reading guiding equipment for children |
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