CN110826850B - Smart campus library management method and system based on information processing - Google Patents
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Abstract
The invention provides a smart campus library management method based on information processing, which comprises the following steps; the method comprises the following steps: s1, setting up a server for managing the book push service; s2, establishing corresponding book labels and book categories of all books in the library; s3, classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server; s4, acquiring a plurality of book label information records borrowed by the reader in the mobile terminal period time; s5, recording the rest book labels as book recommended combinations; s6, periodically pushing book labels to the reader mobile terminal from the book recommendation combination; and S7, the mobile end of the reader obtains the pushed book label. The smart campus library management system based on information processing comprises a database; the system comprises an information transmission module, an establishing module, a classification module, an obtaining module, a recording module, a pushing module and a personality module. The invention solves the problem that the traditional book management is difficult to satisfy the personalized service and the effective utilization of books.
Description
Technical Field
The invention relates to the technical field of book management, in particular to a smart campus library management method and system based on information processing.
Background
Libraries serve as an important basic set for colleges and universities, and are one of important channels for teachers and students to acquire knowledge. However, as the size of libraries in colleges and universities is continuously enlarged and the number of teachers and students in colleges and universities is further increased, the traditional management of the libraries in colleges and universities is difficult to meet the requirements, especially in the aspect of personalized services and effective utilization of books.
The existing management of a university library effectively utilizes digital information resources. By means of information technology, organic integration of traditional media is realized, and greater convenience is provided for readers. But still does not enable reader personalization services and further improves the effective use of books.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a smart campus library management method and system based on information processing, which solves the problem that the traditional book management is difficult to meet personalized services and effectively utilizes books.
In order to achieve the purpose, the invention is realized by the following technical scheme:
the intelligent campus library management method based on information processing comprises the following steps:
s1, setting a server for managing book pushing service, and establishing network information connection between a plurality of reader mobile terminals and the server;
s2, establishing corresponding book labels and book categories of all books in the library, and storing the book labels and the book categories in the server;
s3, classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server;
s4, acquiring a plurality of book label information records borrowed by the reader in the mobile terminal period time;
s5, extracting the rest book labels in the book interest combination corresponding to the book labels according to the book labels, and recording the rest book labels as book recommendation combinations;
s6, periodically pushing book labels to the mobile end of the reader from the book recommendation combination according to the number of words of the book read by the mobile end of the reader in the period;
and S7, the mobile reader end obtains the pushed book labels, the mobile reader end performs individual screening on the book labels, and when the mobile reader end selects a book label not to be interested, a book is pushed from the book recommendation combination corresponding to the book label not to be interested again.
Preferably, in S2, the book tags include information including bibliographic information of books, locations in the library, and the number of times of being borrowed.
Preferably, in S2, the books include paper books and electronic books.
Preferably, in the S3, the book categories are classified according to the usage categories of books, and a book can be allowed to be classified into different combinations of interest in the book according to the usage categories.
Preferably, in S4, the reader borrowing record is saved to the reader moving end and synchronized to the server.
Preferably, in S5, the book label is marked as a n Then, the combination of the interest of the book,the symbol A (a) 1 、a 2 ...a n-1 、a n 、a n+1 ) The book recommendation combination is marked as A1 (a) 1 、a 2 ...a n-1 、a n+1 )。
Preferably, in S6, the word number read by the mobile terminal of the reader in the period is marked as M, the book recommendation combinations a1 are arranged in sequence according to the book word number, the word number M read by the mobile terminal of the reader is inserted, a recommendation sequence is formed according to the book word number from small to large, the book tags are pushed one by one and alternately from the word number M to two sides according to the recommendation sequence of the server according to the position of the word number M in the recommendation sequence.
Preferably, in S7, when the reader moving end selects the uninteresting event for the push book tag for the 1 st time, the uninteresting event is recorded as q 1 When the reader mobile terminal selects the uninteresting event for the push book label at the 2 nd time, the uninteresting event is recorded as q 2 When the reader mobile terminal selects the uninteresting event for the push book label for the nth time, the uninteresting event is recorded as q n And when n is less than z, the server pushes the rest book labels in the book recommendation combination corresponding to the label to the reader mobile terminal, and when n is equal to z, the server does not push the rest book labels in the book recommendation combination corresponding to the book labels to the reader mobile terminal.
Wisdom campus library management system based on information processing includes:
the information transmission module is used for setting a server for managing book pushing service and establishing network information connection between a plurality of reader mobile terminals and the server;
the establishing module is used for establishing corresponding book labels and book categories of all books in the library and storing the book labels and the book categories in the server;
the classification module is used for classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server;
the acquisition module is used for acquiring a plurality of book tag information records borrowed by the reader mobile terminal within the period time;
the recording module is used for extracting the rest book tags in the book interest combination corresponding to the book tags according to the book tags and recording the rest book tags as a book recommendation combination;
the pushing module is used for periodically pushing book labels to the reader moving end from the book recommendation combination according to the number of words of the book read by the reader moving end in a period;
and the personality module is used for acquiring the pushed book tags by the reader mobile terminal, performing personality screening on the book tags by the reader mobile terminal, and when the book tags are selected to be uninterested by the reader mobile terminal, pushing one book from the book recommendation combination corresponding to the uninterested book tags.
(III) advantageous effects
The invention provides a smart campus library management method and system based on information processing. Compared with the prior art, the method has the following beneficial effects:
1. the books are marked as the book tags, the book tags are used for recording bibliographic information of books of the books, positions in a library and borrowed times, the information is convenient to store in a server, meanwhile, each book is classified according to book categories to obtain book interest combinations, pushed books are removed from the graph interest combinations, the rest book tags are combined into book recommendation combinations, the book recommendation combinations are recommended or stopped to recommend according to the preferences of readers, so that book resources are pushed to the mobile end of the readers to the greatest extent, and the book resources are effectively utilized.
2. The word number of the reading of the mobile end of the reader in the period is marked as M, the book recommendation combination A1 is sequentially arranged according to the book word number, the word number M of the reading of the mobile end of the reader is inserted, a recommendation sequence is formed according to the book word number from small to large, the recommendation sequence of the server is that the book labels are pushed one by one and alternately from the position of the word number M to two sides according to the position of the word number M in the recommendation sequence. According to the number of words read by a reader in a period, books with related numbers of words can be pushed to the reader.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow diagram of an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are a part of the embodiments of the present invention, but not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the application provides a smart campus library management method and system based on information processing, wherein the library is used as important basic setting of colleges and universities and is one of important channels for teachers and students to acquire knowledge. However, as the size of libraries in colleges and universities is continuously enlarged and the number of teachers and students in colleges and universities is further increased, the traditional management of the libraries in colleges and universities is difficult to meet the requirements, especially in the aspect of personalized services and effective utilization of books.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Example 1: as shown in figure 1 of the drawings, in which,
the intelligent campus library management method based on information processing comprises the following steps:
s1, setting a server for managing book push service, and constructing network information connection between a plurality of reader mobile terminals and the server;
s2, establishing corresponding book labels and book categories of all books in the library, and storing the book labels and the book categories in the server;
s3, classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server;
s4, acquiring a plurality of book label information records borrowed by the reader in the mobile terminal period time;
s5, extracting the rest book labels in the book interest combination corresponding to the book labels according to the book labels, and recording the rest book labels as book recommendation combinations;
s6, periodically pushing book labels to the mobile end of the reader from the book recommendation combination according to the number of words of the book read by the mobile end of the reader in the period;
and S7, the mobile reader end obtains the pushed book labels, the mobile reader end performs individual screening on the book labels, and when the mobile reader end selects a book label not to be interested, a book is pushed from the book recommendation combination corresponding to the book label not to be interested again.
The technical scheme is that the problem that personalized service cannot be achieved in book management of a traditional library is solved, books can be effectively pushed to readers, the books are marked as book tags, the book tags are used for recording bibliographic information of the books, positions in the library and the borrowed times, the information is convenient to store in a server, meanwhile, each book is classified according to book categories to obtain book interest combinations, the pushed books are removed from the book interest combinations, the remaining book tag combinations are book recommendation combinations, the book recommendation combinations are recommended or stopped to recommend according to the preferences of the readers, so that book resources are pushed to mobile terminals of the readers to the greatest extent possible, and the book resources are effectively utilized.
Example 2: as shown in the figures 1-2 of the drawings,
the smart campus library management method based on information processing comprises the following steps:
s1, setting a server for managing book pushing service, and establishing network information connection between a plurality of reader mobile terminals and the server;
s2, establishing corresponding book labels and book categories of all books in the library, and storing the corresponding book labels and book categories in a server;
s3, classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server;
s4, acquiring a plurality of book label information records borrowed by the reader in the mobile terminal period time;
s5, extracting the rest book labels in the book interest combination corresponding to the book labels according to the book labels, and recording the rest book labels as book recommendation combinations;
s6, periodically pushing book labels to the reader mobile terminal from the book recommendation combination according to the number of words of the books read by the reader mobile terminal within a period;
and S7, the mobile reader end obtains the pushed book labels, the mobile reader end performs individual screening on the book labels, and when the mobile reader end selects the book labels to be uninteresting, one book is pushed from the book recommendation combination corresponding to the uninteresting book labels again.
In S2, the book tag includes information including the bibliographic information of the book, the location in the library, and the number of times of being borrowed. The books include paper books and electronic books. The book information is stored in the server in the form of book tags, so that the book information is convenient to inquire and use.
In the S3, the book categories are classified according to the usage categories of books, and a book can be allowed to be classified into different combinations of interest in books according to the usage categories. Through the classification mode, the same book can be classified into a plurality of book interest combinations, so that the book can obtain more push opportunities, and readers can obtain the interested book conveniently.
In S4, the borrowing record of the reader is saved to the reader moving end and synchronized to the server. And the inquiry of the server and the mobile terminal is facilitated.
In S5, the book label is marked as a n Then, the book interest combination is marked as A (a) 1 、a 2 ...a n-1 、a n 、a n+1 ) The book recommendation combination is marked as A1 (a) 1 、a 2 ...a n-1 、a n+1 ). In the S6, the number of words read by the mobile terminal of the reader in the period is marked as M, the book recommendation combinations a1 are sequentially arranged according to the number of words of the book, the number of words read by the mobile terminal of the reader is inserted, a recommendation sequence is formed according to the number of words of the book from small to large, and the book tags are pushed one by one and alternately from the position of the number of words M to two sides according to the recommendation sequence of the server according to the position of the number of words M in the recommendation sequence. According to the number of words read by a reader in a period, books with related number of words can be pushed to the reader.
In S7, when the reader mobile terminal selects the uninteresting event for the pushed book tag for the 1 st time, the uninteresting event is recorded as q 1 When the reader mobile terminal selects the uninteresting event for the push book label at the 2 nd time, the uninteresting event is recorded as q 2 When the reader mobile terminal selects the uninteresting event for the push book label for the nth time, the uninteresting event is recorded as q n And when n is less than z, the server pushes the rest book labels in the book recommendation combination corresponding to the label to the reader mobile terminal, and when n is equal to z, the server does not push the rest book labels in the book recommendation combination corresponding to the book labels to the reader mobile terminal. According to the personalized recommendation in the embodiment of the invention, when a reader client side sets the threshold value z according to the preference condition, and when the disliked book tag exceeds z, the rest book tags in the book recommendation combination are not pushed.
Wisdom campus library management system based on information processing includes:
the information transmission module is used for setting a server for managing book pushing service and establishing network information connection between a plurality of reader mobile terminals and the server;
the establishing module is used for establishing corresponding book labels and book categories of all books in the library and storing the book labels and the book categories in the server;
the classification module is used for classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server;
the acquisition module is used for acquiring a plurality of book tag information records borrowed by a reader in the mobile terminal period time;
the recording module is used for extracting the rest book tags in the book interest combination corresponding to the book tags according to the book tags and recording the rest book tags as book recommendation combinations;
the pushing module is used for periodically pushing book labels to the reader moving end from the book recommendation combination according to the number of words of the book read by the reader moving end in a period;
and the personality module is used for acquiring the pushed book tags by the reader mobile terminal, performing personality screening on the book tags by the reader mobile terminal, and when the book tags are selected to be uninterested by the reader mobile terminal, pushing one book from the book recommendation combination corresponding to the uninterested book tags.
In summary, compared with the prior art, the method has the following beneficial effects:
1. the books are marked as the book tags, the book tags are used for recording the book bibliographic information of the books, the positions in a library and the borrowed times, the information is convenient to store in a server, meanwhile, each book is classified according to the book category to obtain book interest combinations, the pushed books are removed from the graph interest combinations, the rest book tag combinations are book recommendation combinations, the book recommendation combinations are recommended or stopped from being recommended according to the preferences of readers, so that book resources are pushed to the mobile ends of the readers to the greatest extent possible, and the book resources are effectively utilized.
2. The word number read by the mobile end of the reader in the period is marked as M, the book recommendation combinations A1 are sequentially arranged according to the book word number, the word number M read by the mobile end of the reader is inserted, a recommendation sequence is formed according to the book word number from small to large, the server recommendation sequence pushes the book labels one by one and alternately from the position of the word number M to two sides in the recommendation sequence according to the word number M in the recommendation sequence. According to the number of words read by a reader in a period, books with related numbers of words can be pushed to the reader.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (2)
1. The intelligent campus library management method based on information processing is characterized by comprising the following steps:
s1, setting a server for managing book pushing service, and establishing network information connection between a plurality of reader mobile terminals and the server;
s2, establishing corresponding book labels and book categories of all books in the library, and storing the book labels and the book categories in the server;
s3, classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server;
s4, acquiring a plurality of book label information records borrowed by the reader in the mobile terminal period time;
s5, extracting the rest book labels in the book interest combination corresponding to the book labels according to the book labels, and recording the rest book labels as a book recommendation combination;
s6, periodically pushing book labels to the mobile end of the reader from the book recommendation combination according to the number of words of the book read by the mobile end of the reader in the period;
s7, the mobile end of the reader obtains the pushed book labels, the mobile end of the reader carries out personalized screening on the book labels, and when the mobile end of the reader selects the book labels to be uninteresting, a book is pushed from the book recommendation combination corresponding to the uninteresting book labels again;
in S2, the book tag includes information including book information, location in the library, and number of times of being borrowed;
in S2, the books include paper books and electronic books;
in the S3, the book categories are classified according to the usage categories of books, and a book can be allowed to be classified into different book interest combinations according to the usage categories;
in the step S4, saving the borrowing record of the reader to a reader mobile terminal, and synchronizing the borrowing record to a server;
in S5, the book label is marked as a n Then, the book interest combination is marked as A (a) 1 、a 2 ...a n-1 、a n 、a n+1 ) The book recommendation combination is marked as A1 (a) 1 、a 2 ...a n-1 、a n+1 ）；
In the S6, the number of words read by the mobile terminal of the reader in the period is denoted by M, the book recommendation combinations a1 are arranged in sequence according to the number of words of the book, the number of words read by the mobile terminal of the reader is inserted, a recommendation sequence is formed according to the number of words of the book from small to large, the server recommends the book labels to be pushed one by one and alternately from the position of the number of words M to both sides in the recommendation sequence;
in S7, when the reader mobile terminal selects the uninteresting event for the pushed book tag for the 1 st time, the uninteresting event is recorded as q 1 When the reader mobile terminal selects the uninteresting event for the push book label at the 2 nd time, the uninteresting event is recorded as q 2 When the reader mobile terminal selects the uninteresting event for the push book label for the nth time, the uninteresting event is recorded as q n And when n = z, the server does not push the remaining book tags of the book recommendation combination corresponding to the book tags to the reader mobile terminal.
2. An information processing-based smart campus library management system, wherein the management system is adapted to the information processing-based smart campus library management method of claim 1, comprising:
the information transmission module is used for setting a server for managing book pushing service and establishing network information connection between a plurality of reader mobile terminals and the server;
the establishing module is used for establishing corresponding book labels and book categories of all books in the library and storing the book labels and the book categories in the server;
the classification module is used for classifying and aggregating the book labels into a plurality of book interest combinations according to book categories through a server;
the acquisition module is used for acquiring a plurality of book tag information records borrowed by a reader in the mobile terminal period time;
the recording module is used for extracting the rest book tags in the book interest combination corresponding to the book tags according to the book tags and recording the rest book tags as book recommendation combinations;
the pushing module is used for periodically pushing book labels to the reader moving end from the book recommendation combination according to the number of the words of the books read by the reader moving end within the period;
and the personality module is used for acquiring the pushed book tags by the reader mobile terminal, performing personality screening on the book tags by the reader mobile terminal, and when the book tags are selected to be uninterested by the reader mobile terminal, pushing one book from the book recommendation combination corresponding to the uninterested book tags.
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| CN115098803B (en) * | 2022-08-24 | 2022-12-06 | 深圳市华图测控系统有限公司 | Book recommendation method and system based on mobile library |
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| CN104050521A (en) * | 2013-03-13 | 2014-09-17 | 上海斐讯数据通信技术有限公司 | Book management system |
| CN104111939B (en) * | 2013-04-18 | 2018-08-17 | 中国移动通信集团浙江有限公司 | A kind of book recommendation method and device |
| US20160189034A1 (en) * | 2014-12-30 | 2016-06-30 | Cirrus Shakeri | Computer automated learning management systems and methods |
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| CN110222806A (en) * | 2019-06-16 | 2019-09-10 | 长沙开雅电子科技有限公司 | A kind of book lending system and design method based on wechat |
| CN110990670B (en) * | 2019-10-30 | 2023-11-10 | 华东师范大学 | Growth incentive book recommendation method and recommendation system |
| CN113590945B (en) * | 2021-07-26 | 2023-07-28 | 西安工程大学 | Book recommendation method and device based on user borrowing behavior-interest prediction |
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