CN108009194A - A kind of books method for pushing, electronic equipment, storage medium and device - Google Patents
A kind of books method for pushing, electronic equipment, storage medium and device Download PDFInfo
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- CN108009194A CN108009194A CN201710994023.2A CN201710994023A CN108009194A CN 108009194 A CN108009194 A CN 108009194A CN 201710994023 A CN201710994023 A CN 201710994023A CN 108009194 A CN108009194 A CN 108009194A
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- books
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- information
- incidence relation
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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
Abstract
The invention discloses a kind of books method for pushing, comprise the following steps：Obtain the attribute information of every books and every books and the incidence relation between books and books is established according to the attribute information of every books；Essential information, the user behavior data information of each user and each user are obtained, and the incidence relation between the incidence relation between user and books, user and user is established according to the attribute information of the essential information of each user, user behavior data and books；Obtain the information of active user；Search all other users that there is incidence relation with active user in systems according to the information of active user；Search the preferred books of each other users；Books are pushed to active user.The invention also discloses a kind of electronic equipment, storage medium and books pusher.The present invention can combine the information of books and the information of user, behavioral data etc. and recommend suitable books for user.
Description
Technical field
The present invention relates to books supplying system, more particularly to a kind of books method for pushing, electronic equipment, storage medium and dress
Put.
Background technology
At present, it is usually that parent guides child to read suitable books, still, family when selecting read books for student
Length itself needs to know that what books child should select in the different intelligence stages of growth, such as using the interest of child as first
Position, it is allowed to which child selects books interested.And during reading instruction, it is past since teacher needs to face substantial amounts of student
It is past to be difficult to take into account the interest of student, reading ability, also have no time to judge which books is adapted to which student.Especially for pupil
For, reading instruction is constantly in core status, and reading instruction is exceedingly paid attention to teaching knowledge, acquistion technical ability in target, gently
Guiding on apparent reading method, ignores the culture of the emotional experience and values of student, and outside reading is let drift.It is such
Reading instruction consequence causes student to lose study, the interest read, and is unfavorable for the self-growth of student.In addition, not only for
It is large number of due to books for the people of any desired read books for student, it is difficult to be selected in a large amount of books
Which is suitable for the books of itself reading, so often results in many people and have selected inappropriate books and lose to reading
Interest.
The content of the invention
For overcome the deficiencies in the prior art, it is an object of the present invention to a kind of books method for pushing, it can be solved
Certainly in the prior art can not read books suitable according to selections such as interest, hobby, reading abilities the problem of.
The second object of the present invention is a kind of electronic equipment, it can be solved in the prior art can not be according to interest, love
The problem of selections such as good, reading ability suitable read books.
The third object of the present invention is a kind of computer-readable recording medium, it can be solved in the prior art can not root
The problem of read books suitable according to selections such as interest, hobby, reading abilities.
The fourth object of the present invention is a kind of books pusher, it can be solved in the prior art can not be according to emerging
The problem of selection such as interest, hobby, reading ability suitable read books.
An object of the present invention adopts the following technical scheme that realization：
A kind of books method for pushing, comprises the following steps：
Books Gathering step：Obtain the attribute information of every books and every books and believed according to the attribute of every books
Breath establishes the incidence relation between books and books；
User information acquisition step：Essential information, the user behavior data information of each user and each user are obtained,
And the pass between user and books is established according to the attribute information of the essential information of each user, user behavior data and books
Incidence relation between connection relation, user and user；
Obtaining step：Obtain the essential information of active user；
User's finding step：Searched in systems according to the essential information of active user has incidence relation with active user
All other users；
First library search step：Search the preferred books of each other users；
Push step：Books are pushed to active user.
Further, the second library search step is further included：Searched in systems according to the preferred books of each user
Preferred books possess other books of incidence relation with each user；
Push step further includes：Other books are pushed to user.
Further, the second library search step specifically further includes：
The attribute information obtaining step of books：The preferred figure of each user is obtained according to the preferred books of each user
The attribute information of book；
Evaluation score calculation procedure：Evaluation of books is calculated according to the attribute information of the preferred books of each user
Fraction；
Finding step：Books in the attribute information of every books, every evaluation of books fraction and system with
Incidence relation between books show that the books preferred with each user possess other books of incidence relation.
Further, the essential information of user includes title, gender, age, grade, interest and hobby；User behavior
Data message includes data message caused by the behavior of user in systems.
Further, the behavior of the user includes borrowing, collect, comment on, report, reply and thumbing up.
The second object of the present invention adopts the following technical scheme that realization：
A kind of electronic equipment, including memory, processor and storage can be run on a memory and on a processor
The step of computer program, the processor realizes foregoing books method for pushing when performing described program.
The third object of the present invention adopts the following technical scheme that realization：
A kind of computer-readable recording medium, is stored thereon with computer program, and the computer program is held by processor
The step of foregoing books method for pushing is realized during row.
The fourth object of the present invention adopts the following technical scheme that realization：
A kind of books pusher, including：
Books Gathering module, for obtaining the attribute information of every books and every books and according to the category of every books
Property information establishes the incidence relation between books and books；
User information acquisition module, for obtaining essential information, the user behavior data of each user and each user
Information, and according to the attribute information of the essential information of each user, user behavior data and books establish user and books it
Between incidence relation, the incidence relation between user and user；
Acquisition module, for obtaining the information of active user；
User's searching module, has incidence relation for being searched in systems according to the information of active user with active user
All other users；
First library search module, the books preferred for searching each other users；
Pushing module, for books to be pushed to active user.
Further, further include the second library search module, for according to the preferred books of each user in systems
Search other books for possessing incidence relation with the preferred books of each user；
Pushing module, is additionally operable to other books being pushed to user.
Further, the second library search module specifically further includes：
The attribute information acquisition module of books, it is preferred for obtaining each user according to the preferred books of each user
Books attribute information；
Evaluation score computing module, for books to be calculated according to the attribute information of the preferred books of each user
Evaluation score；
Searching module, for the figure in the attribute information according to every books, every evaluation of books fraction and system
Incidence relation between book and books show that the books preferred with each user possess other books of incidence relation.
Compared with prior art, the beneficial effects of the present invention are：
The present invention attribute information of books is acquired in advance and is established between books and books incidence relation, pass through
The information such as essential information and user behavior data to user are acquired and establish the incidence relation between user and books,
Incidence relation between user and user etc.；Then when there is new user's registration in system, by by new user and system
Other users are compared, and find out the preferred all books of the other users for possessing incidence relation with the new user, and then
All books are recommended into new user, realize the effect for recommending suitable books or book list automatically for user.Than as can
Teacher is enough helped to provide different books list for each student from parent to lift the reading ability of student, excitation student resource is read
Interest, improve reading level；Suitable list of books can also be provided for social personage, cultivate the interest of its reading, improve
Reading level.
Brief description of the drawings
Fig. 1 is the flow chart of books method for pushing provided by the invention；
Fig. 2 is the graph of a relation between the behavioral data information of user provided by the invention and books；
Fig. 3 is the module map of books pusher provided by the invention.
Embodiment
In the following, with reference to attached drawing and embodiment, the present invention is described further, it is necessary to which explanation is, not
Under the premise of afoul, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Embodiment
The present invention provides a kind of books method for pushing, it can help teacher, parent etc. to be provided properly for each student
, different book list lift the reading ability of student.For example teacher can be effective for each student formulation by the present invention
Instructional objective and the direction read of the specific content of courses clearly each student resource, select the lively content of courses, it is ingenious
Ground sets query, to excite the interest of the independent reading of each student, and then improves the reading level of student, is finally reached culture
The purpose that student resource is read.For example parent can select suitable outside reading books to cultivate child by the present invention for child
Reading ability, lift reading level of child etc..Which the present invention can also help want to read, but face a large amount of books
And do not know for the user how to choose, choose suitable books and read, lift reading interest and reading ability.
The present invention realized based on big data technology, that is to say by big data to substantial amounts of books and books
Attribute information is collected, handles, sorts out, and establishes the incidence relation between books and books, and to user information, user
Behavioral data information is collected, handles, sorts out, and establishes associating, between user and user between each user and books
Incidence relation, then according to the incidence relation between the incidence relation between books and books, user and books, user and use
Incidence relation between family recommends suitable book list to user.Here user is not limited only to teacher, parent, student etc., can
To be anyone, after it by registering in systems, system can be just that it recommends suitable list of books.
In addition, in the application for the incidence relation between the incidence relation between books and books, user and user, with
And the incidence relation between user and books is to handle to obtain by evaluation model.Wherein, mainly pass through for evaluation model
Four matrix of elements are built, including brand, function, availability, content etc..For each element, create some descriptions with
Parameter, then has by user and targetedly evaluates and tests product, is one range scale from 1-5 of each description establishment, and
Give a mark (such as 0-25 points) to each description in the range of this.
It that is to say, the processing such as system is by being collected the attribute information of a large amount of books, duplicate removal, classification, then to figure
The equal quantification treatment of each attribute information of book, and calculated to assigning corresponding scoring, and then according to the attribute information of every books
Draw every evaluation of books fraction, books just can be derived that according to the attribute information of every evaluation of books fraction and books
Incidence relation between books, for example two evaluation of books fractions are close, attribute information is identical, then this two books are very big
It is probably to belong to of a sort books.
For example every books are respectively provided with multiple attribute informations, for example, it is title, author, publishing house, the publication date, brief introduction, fixed
Bit identification, keyword, field, positioning mark, front cover, creation time, frequency of reading, comment on number, number of words, price, priority,
Remarks, reading difficulty, recommendation, number of pages, books type, book recommendation video etc..Pass through each attribute information to books
Quantification treatment, and give a mark to it, each evaluation of books fraction can be so obtained according to the attribute information of books, into
And when judging the similitude between books and books, it is possible to judged according to each evaluation of books fraction.For example select
Element of multiple attribute informations as evaluation model is taken, is then each element by its quantification treatment, and is each Elemental partition
Weight, marking etc..So for a books, it is possible to the books are calculated according to its corresponding attribute information
Evaluation score, judges the pass between books and books so as to the attribute information according to the books and corresponding evaluation score
Connection relation, incidence relation here can refer to the analogous relationship degree between books and books.
Same reason, system combine figure also by the essential information and user behavior data information that gather user
The information of book establishes the incidence relation between the incidence relation between user and user, user and books.
As shown in Fig. 2, the essential information of user includes the essential informations such as gender, age, grade, interest, hobby, Yong Huhang
Refer to that user when using system, is produced, the various information and data that system produces by user behavior for data message, such as when
User borrows in book system, collects, commenting on, reporting, book review, the data message caused by behavior such as replys, thumbs up.Equally
, it can also be established according to the essential information of user, user behavior data information by evaluation model between user and user
Incidence relation between incidence relation, user and books.Such as by collecting the essential information and use of a large amount of real users
Family behavioral data information, and quantification treatment is carried out to user behavior data information, draw commenting for each user behavior data information
Valency fraction etc., and then the incidence relation between user and user is obtained according to user behavior data information and evaluation score etc..
Incidence relation between two users can be used for example below, and the interest of two users is identical, is of the similar age, grade's phase
With, browse and record that similar, collection record is similar, it is similar etc. to share record, then it is assumed that the correlation degree of the two users is higher, then
Similarly, it is believed that the preference of the two users is consistent, then for the preferred books of one of user, another
There is a strong possibility is also preference by user.The description of quantization for user behavior data information, such as table 1.
| Evaluating | Opinion rating | Evaluate score |
| Book information is inquired about with browsing | 1~5 | 19 |
| Read books and collection | 1~5 | 21 |
| Share book crossing with thumbing up | 1~5 | 25 |
| On-line off-line interaction is with sharing | 1~5 | 15 |
Table 1
For evaluation model, its specific processing procedure is the prior art, and the present invention is simply according to existing evaluation
The technical principle of model establishes the pass between books and books, user and books, user and user for books and user
Connection relation, and the technical principle of evaluation model in itself is directed to, the present invention is not related to.
In addition, the present invention is carried out when to user's Recommended Books based on following two principles：One of which is based on use
The similar principle in family, that is to say that the books that the user with the same or similar preference is liked should be identical；Other one
Kind is based on the similar principle of books, be that is to say, it should be preferred by same user to have the same or similar books.
System is believed by the attribute information of a large amount of books, the essential information of user and the user behavior data obtained in advance
Breath is established between incidence relation and user and user between incidence relation between books and books, user and books
Incidence relation, then as systematic new registration user, can just be recommended to new registration user automatically based on above-mentioned two principle
Suitable books or book list.
It that is to say, as shown in Figure 1, a kind of books method for pushing, it comprises the following steps：
S1, the essential information for obtaining active user.
S2, search all its for possessing incidence relation with active user according to the essential information of active user in systems
He is user.For example judge two users by comparing age of the user in active user and system, grade, hobby etc.
Whether possess incidence relation, that is to say and the same or similar other users of the preference of active user.It that is to say, based on user's phase
As principle, first look for out in system with active user have same or similar preference system other users.
S3, search the preferred books of each other users.
Since for the user with same or similar preference, its preferred books should be consistent, that is to say tool
The books that the user for having the same or similar preference is liked should be identical principle, recommend corresponding books for user.
Such as with the same or similar interest, age, the user of grade, and borrow books, collection books, thumb up etc. it is identical
Or for similar user, its preferred books is basically identical, then the preferred books of one of user can be pushed away
Recommend and give another user.
For example A, party B-subscriber are the registered user of system, wherein the preferred books of party A-subscriber are respectively books a, books a
It is suitable for the students ' reading of 1-2 grades；The preferred books of party B-subscriber are books b, and books b is adapted to the students ' reading of 5-6 grades.
Nowadays there is a C user, the grade of C user, age are identical with party A-subscriber, and/or the hobby of C, interest, browse note
Record is also similar with party A-subscriber, then it should be that C user is preferred to illustrate the preferred books of party A-subscriber, therefore can recommend books a
To C user.
In addition, based on the similar principle of books, it that is to say that the same or similar books may be preferred by same user
Principle, recommend corresponding books for active user.Therefore, which further includes：S4, according to each user institute
The books of preference search other books that the books preferred with each user possess incidence relation in systems.
Such as party A-subscriber preference books a, party B-subscriber preference books b, there are books d, wherein books d and books a to belong in system
The same or similar books, then for C user's Recommended Books when, also books d can be recommended C user.
When searching the similar or identical books of certain this books, all properties information of books, Ran Hougen are obtained first
Can be calculated the evaluation score corresponding to books according to all properties information of books, so can according to the attribute information of books with
And evaluation of books fraction judges whether two books are same or similar to calculate.
S5, by books and other books recommend to be shown to user.
Present invention also offers a kind of electronic equipment, it includes memory, processor and storage on a memory and can
The computer program run in processing, the processor realize books method for pushing as described herein when performing described program
The step of.
Present invention also offers a kind of computer-readable recording medium, is stored thereon with computer program, computer program
The step of books method for pushing as described herein is realized when being executed by processor.
As shown in figure 3, a kind of books pusher, including：
Books Gathering module, for obtaining the attribute information of every books and every books and according to the category of every books
Property information establishes the incidence relation between books and books；
User information acquisition module, for obtaining essential information, the user behavior data of each user and each user
Information, and according to the attribute information of the essential information of each user, user behavior data and books establish user and books it
Between incidence relation, the incidence relation between user and user；
Acquisition module, for obtaining the information of active user；
User's searching module, has incidence relation for being searched in systems according to the information of active user with active user
All other users；
First library search module, the books preferred for searching each other users；
Pushing module, for books to be pushed to active user.
Further, further include the second library search module, for according to the preferred books of each user in systems
Search other books for possessing incidence relation with the preferred books of each user；
Pushing module, is additionally operable to other books being pushed to user.
Further, the second library search module specifically further includes：
Second library search module further includes：
The attribute information acquisition module of books, it is preferred for obtaining each user according to the preferred books of each user
Books attribute information；
Evaluation score computing module, for books to be calculated according to the attribute information of the preferred books of each user
Evaluation score；
Searching module, for the figure in the attribute information according to every books, every evaluation of books fraction and system
Incidence relation between book and books show that the books preferred with each user possess other books of incidence relation.
The above embodiment is only the preferred embodiment of the present invention, it is impossible to the scope of protection of the invention is limited with this,
The change and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed scope.
Claims (10)
1. a kind of books method for pushing, it is characterised in that comprise the following steps：
Books Gathering step：Obtain the attribute information of every books and every books and built according to the attribute information of every books
Vertical incidence relation between books and books；
User information acquisition step：Obtain essential information, the user behavior data information of each user and each user, and root
Established according to the attribute information of the essential information of each user, user behavior data and books between user and books and associate pass
Incidence relation between system, user and user；
Obtaining step：Obtain the essential information of active user；
User's finding step：Search the institute that there is incidence relation with active user in systems according to the essential information of active user
Some other users；
First library search step：Search the preferred books of each other users；
Push step：Books are pushed to active user.
2. books method for pushing as claimed in claim 1, it is characterised in that：Further include the second library search step：According to every
The preferred books of a user search other books that the books preferred with each user possess incidence relation in systems；
Push step further includes：Other books are pushed to user.
3. books method for pushing as claimed in claim 2, it is characterised in that：Second library search step specifically further includes：
The attribute information obtaining step of books：The preferred books of each user are obtained according to the preferred books of each user
Attribute information；
Evaluation score calculation procedure：Evaluation of books point is calculated according to the attribute information of the preferred books of each user
Number；
Finding step：According to the books and books in the attribute information of every books, every evaluation of books fraction and system
Between incidence relation show that the books preferred with each user possess other books of incidence relation.
4. books method for pushing as claimed in claim 1, it is characterised in that：The essential information of user includes title, gender, year
Age, grade, interest and hobby；User behavior data information includes data message caused by the behavior of user in systems.
5. books method for pushing as claimed in claim 4, it is characterised in that：The behavior of the user includes borrowing, collecting, commenting
By, report, reply and thumb up.
6. a kind of electronic equipment, including memory, processor and storage are on a memory and the meter that can run on a processor
Calculation machine program, it is characterised in that：The processor realizes the figure as any one of claim 1-5 when performing described program
The step of book method for pushing.
7. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that：The computer program quilt
The step of books method for pushing as any one of claim 1-5 is realized when processor performs.
A kind of 8. books pusher, it is characterised in that including：
Books Gathering module, for obtaining the attribute information of every books and every books and being believed according to the attribute of every books
Breath establishes the incidence relation between books and books；
User information acquisition module, for obtaining essential information, the user behavior data information of each user and each user,
And the pass between user and books is established according to the attribute information of the essential information of each user, user behavior data and books
Incidence relation between connection relation, user and user；
Acquisition module, for obtaining the information of active user；
User's searching module, for searching the institute that there is incidence relation with active user in systems according to the information of active user
Some other users；
First library search module, the books preferred for searching each other users；
Pushing module, for books to be pushed to active user.
9. device as claimed in claim 8, it is characterised in that：The second library search module is further included, for being used according to each
The preferred books in family search other books that the books preferred with each user possess incidence relation in systems；
Pushing module, is additionally operable to other books being pushed to user.
10. device as claimed in claim 9, it is characterised in that：Second library search module specifically further includes：
The attribute information acquisition module of books, for obtaining the preferred figure of each user according to the preferred books of each user
The attribute information of book；
Evaluation score computing module, for evaluation of books to be calculated according to the attribute information of the preferred books of each user
Fraction；
Searching module, for the books in the attribute information according to every books, every evaluation of books fraction and system with
Incidence relation between books show that the books preferred with each user possess other books of incidence relation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710994023.2A CN108009194A (en) | 2017-10-23 | 2017-10-23 | A kind of books method for pushing, electronic equipment, storage medium and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710994023.2A CN108009194A (en) | 2017-10-23 | 2017-10-23 | A kind of books method for pushing, electronic equipment, storage medium and device |
Publications (1)
| Publication Number | Publication Date |
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| CN108009194A true CN108009194A (en) | 2018-05-08 |
Family
ID=62051107
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710994023.2A Pending CN108009194A (en) | 2017-10-23 | 2017-10-23 | A kind of books method for pushing, electronic equipment, storage medium and device |
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| CN109670034A (en) * | 2018-12-25 | 2019-04-23 | 杭州铭智云教育科技有限公司 | A kind of information reader data processing method and device |
| CN109684368A (en) * | 2018-12-25 | 2019-04-26 | 杭州铭智云教育科技有限公司 | A kind of publication target literature register method and device |
| CN110705953A (en) * | 2019-08-19 | 2020-01-17 | 湖南正宇软件技术开发有限公司 | Data acquisition method and system |
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| CN103177012A (en) * | 2011-12-22 | 2013-06-26 | 中国移动通信集团浙江有限公司 | Method and device of electric book push |
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| CN110737774A (en) * | 2018-07-03 | 2020-01-31 | 百度在线网络技术（北京）有限公司 | Book knowledge graph construction method, book recommendation method, device, equipment and medium |
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