CN106095867B - A kind of book recommendation method and device based on industry analysis - Google Patents
A kind of book recommendation method and device based on industry analysis Download PDFInfo
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Abstract
The present invention provides a kind of book recommendation method and device based on industry analysis, this method comprises: obtaining the historical behavior data for searching for user when receiving the Books Search request comprising search term from search user；The historical behavior data of analysis search user, and determine industry belonging to search user；In the corresponding relationship of the user and trade information that pre-establish, searches and match user with the search matched one or more of the affiliated industry of user；Obtain reading and/or the purchase books record of one or more matching users；The reading of one or more matching users and/or purchase books record are combined in the corresponding search results pages of search term, and recommend search user as Recommended Books.Method provided in an embodiment of the present invention can recommend more targeted books for search user, saved the time that search user selects suitable books in the books of magnanimity, improved the experience of user.
Description
Technical field
The present invention relates to computer network fields, more particularly to a kind of book recommendation method and dress based on industry analysis
It sets.
Background technique
With the continuous development of Internet technology, internet have become people's daily life, working and learning can not or
Scarce a part.In particular, the development of e-commerce in recent years is especially rapid, make people without going out and can easily realize
Shopping online, such as in online purchase books.Online shopping books although eliminate user go out into entity bookstore buy books when
Between, still, user cannot conveniently, intuitively check the content of books on the net, and title can not also represent books completely
Content is easy to produce the books that user buys and is not suitable for the problem of oneself is read, and therefore, the recommendation of books just seems especially heavy
It wants.
Currently, most of existing book recommendation modes all compare be intended to recommend for user it is some be in great demand, it is popular or
The books of newest publication, and these books are not necessarily suitable for user's reading, so, in face of a large amount of books of recommendation, user is still
The books of oneself needs can not so be found.It therefore, how to be that user recommends targeted books according to the actual needs of user
It is necessary to.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
State the book recommendation method and device based on industry analysis of problem.
According to one aspect of the present invention, a kind of book recommendation method based on industry analysis is provided, comprising:
When receiving the Books Search request comprising search term from search user, going through for described search user is obtained
History behavioral data；
The historical behavior data of described search user are analyzed, and determine industry belonging to described search user；
In the corresponding relationship of the user and trade information that pre-establish, lookup is matched with the affiliated industry of described search user
One or more matching users；
Obtain reading and/or the purchase books record of one or more of matching users；
It is corresponding that the reading of one or more of matching users and/or purchase books record are combined to described search word
In search results pages, and described search user is recommended as Recommended Books.
Optionally, the historical behavior data include at least one following:
User's registration information, history input information, browsing behavior information, buying behavior information, collection behavioural information, evaluation
Information.
Optionally, the method also includes: establish the corresponding relationship of multiple users Yu the multiple user's trade information.
Optionally, the corresponding relationship for establishing multiple users Yu the multiple user's trade information, comprising:
Multiple users on books platform are collected, the historical behavior data of each user in the multiple user are obtained；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
Optionally, the corresponding relationship for establishing multiple users Yu the multiple user's trade information, comprising:
Multiple users in the circle of friends of described search user are collected, the history row of each user in the multiple user is obtained
For data；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
It optionally, include: that the various social activities that use in described search user's registration are soft in the circle of friends of described search user
There are individual or the group of mutual-action behavior in part with described search user.
Optionally, in user's trade information list further include: the reading and/or purchase of each user in the multiple user
Buy books record.
Optionally, the reading for obtaining one or more of matching users and/or purchase books record, comprising:
Reading and/or the purchase books of one or more of matching users are obtained from user's trade information list
Record.
Optionally, the reading for obtaining one or more of matching users and/or purchase books record, further includes:
Obtain reading relevant to described search word and/or the purchase books record of one or more of matching users.
Optionally, the reading of one or more of matching users and/or purchase books record are combined to described search
In the corresponding search results pages of word, and described search user is recommended as Recommended Books, comprising:
The corresponding books of the reading of one or more of matching users and/or purchase books record are divided into multiple
Grade；
By the readings of one or more of matching users and/or purchase books record, divided according to books multiple etc.
Grade is combined in the corresponding search results pages of described search word, and recommends described search user as Recommended Books.
Optionally, by books be divided into multiple grades include: according to each books title by each books be divided into
Gate leve books promote grade books and present briefly and succinctly a grade books.
Another aspect according to the present invention additionally provides a kind of book recommendation device based on industry analysis, comprising:
First obtains module, suitable for obtaining when receiving the Books Search request comprising search term from search user
Take the historical behavior data of described search user；
Analysis module suitable for analyzing the historical behavior data of described search user, and determines belonging to described search user
Industry；
Searching module, suitable for searching and being used with described search in the corresponding relationship of the user and trade information that pre-establish
The matched one or more matching users of the affiliated industry in family；
Second obtains module, suitable for obtaining reading and/or the purchase books record of one or more of matching users；
Recommending module, suitable for the reading of one or more of matching users and/or purchase books record are combined to institute
It states in the corresponding search results pages of search term, and recommend described search user as Recommended Books.
Optionally, the historical behavior data include at least one following:
User's registration information, history input information, browsing behavior information, buying behavior information, collection behavioural information, evaluation
Information.
Optionally, described device further include:
Corresponding relationship module is established, the corresponding relationship of multiple users Yu the multiple user's trade information are adapted to set up.
Optionally, the corresponding relationship module of establishing is further adapted for:
Multiple users on books platform are collected, the historical behavior data of each user in the multiple user are obtained；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
Optionally, the corresponding relationship module of establishing is further adapted for:
Multiple users in the circle of friends of described search user are collected, the history row of each user in the multiple user is obtained
For data；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
It optionally, include: to be used in described search in the circle of friends for establishing the search user in corresponding relationship module
There are individual or the group of mutual-action behavior in the various social softwares that family registers to use with described search user.
Optionally, it is established in user's trade information list in corresponding relationship module described further include: described more
The reading of each user and/or purchase books record in a user.
Optionally, the second acquisition module is further adapted for:
Reading and/or the purchase books of one or more of matching users are obtained from user's trade information list
Record.
Optionally, the second acquisition module is further adapted for:
Obtain reading relevant to described search word and/or the purchase books record of one or more of matching users.
Optionally, the recommending module is further adapted for:
The corresponding books of the reading of one or more of matching users and/or purchase books record are divided into multiple
Grade；
The reading of one or more of matching users and/or purchase books are recorded into the multiple grades divided according to books
It is combined in the corresponding search results pages of described search word, and recommend described search user as Recommended Books.
Optionally, the recommending module is further adapted for:
Each books are divided into entry level books, promote grade books and present briefly and succinctly a grade books by the title according to each books.
In embodiments of the present invention, first when receiving the Books Search request comprising search term from search user
The historical behavior data of search user are first obtained, and the historical behavior data of the search user got are analyzed, with true
Make the relevant information of industry belonging to search user and affiliated industry.Then the user's and trade information pre-established
In corresponding relationship, searches and match user with the search matched one or more of the affiliated industry of user.And then it obtains one or more
Reading and/or the purchase books record of user are matched, and one or more is matched to readings and/or the purchase books record of users
It is combined in the corresponding search results pages of search term, recommends search user as Recommended Books.It can be seen that when user searches for
When books, the embodiment of the present invention can determine industry belonging to user by the historical behavior data of analysis search user, into
And the book recommendation searched the other users with search user's same industry, and other users are read and/or bought is to search
User, to recommend the books for being more suitable for searching for user's reading for search user.Especially, when search user is not having clearly
In the case where reading or buying target, use method provided in an embodiment of the present invention that can recommend for search user more targeted
Books, saved search user and selected time of suitable books, to improve the experience of user in the books of magnanimity.
Further, the embodiment of the present invention will will first can recommend search and use when for search user's Recommended Books
The books at family are divided into different grades, and then are search user's Recommended Books according to different brackets.For example, according to the difficulty of books
Recommended Books are divided into entry level books, promote grade books and present briefly and succinctly a grade books by easy degree, and family can be used quickly and easily
The books for being suitble to oneself to read are selected, have effectively saved user to the selection time of Recommended Books.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 is the flow diagram of the book recommendation method according to an embodiment of the invention based on industry analysis；
Fig. 2 is the flow diagram of the book recommendation method in accordance with another embodiment of the present invention based on industry analysis；
Fig. 3 is the signal of the searched page of the book recommendation method according to an embodiment of the invention based on industry analysis
Figure；
Fig. 4 is the structural schematic diagram of the book recommendation device according to an embodiment of the invention based on industry analysis；With
And
Fig. 5 is the structural schematic diagram of the book recommendation device in accordance with another embodiment of the present invention based on industry analysis.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
In order to solve the above technical problems, the present invention provides a kind of book recommendation method based on industry analysis, this method
It can be applied in books purchase platform, books reading platform or various search browsers.Fig. 1 is a reality according to the present invention
Apply the flow diagram of the book recommendation method based on industry analysis of example.Referring to Fig. 1, this method at least may include step
S102 to step S110.
Step S102 obtains search and uses when receiving the Books Search request comprising search term from search user
The historical behavior data at family.
In this step, the historical behavior data for searching for user may include user's registration information, history input information, clear
Look at behavioural information, buying behavior information, collection behavioural information, evaluation information etc., the invention is not limited thereto.
Step S104, the historical behavior data of analysis search user, and determine industry belonging to search user.
Step S106 is searched and the search affiliated row of user in the corresponding relationship of the user and trade information that pre-establish
The matched one or more matching users of industry.
Step S108 obtains reading and/or the purchase books record of one or more matching users.
It is corresponding to be combined to search term by step S110 for the reading of one or more matching users and/or purchase books record
Search results pages in, and as Recommended Books recommend search user.
In this step, since the reading of one or more matching users and/or purchase books record have certain ginseng
The property examined, it is more targeted to be recommended search user, and search user is enabled to get the books of oneself demand.
In embodiments of the present invention, first when receiving the Books Search request comprising search term from search user
The historical behavior data of search user are first obtained, and the historical behavior data of the search user got are analyzed, with true
Make the relevant information of industry belonging to search user and affiliated industry.Then the user's and trade information pre-established
In corresponding relationship, searches and match user with the search matched one or more of the affiliated industry of user.And then it obtains one or more
Reading and/or the purchase books record of user are matched, and one or more is matched to readings and/or the purchase books record of users
It is combined in the corresponding search results pages of search term, recommends search user as Recommended Books.It can be seen that when user searches for
When books, the embodiment of the present invention can determine industry belonging to user by the historical behavior data of analysis search user, into
And the book recommendation searched the other users with search user's same industry, and other users are read and/or bought is to search
User, to recommend the books for being more suitable for searching for user's reading for search user.Especially, when search user is not having clearly
In the case where reading or buying target, use method provided in an embodiment of the present invention that can recommend for search user more targeted
Books, saved search user and selected time of suitable books, to improve the experience of user in the books of magnanimity.
Referred in above step S106, in the corresponding relationship of the user and trade information that pre-establish, search with
Search for the matched one or more matching users of the affiliated industry of user, here it is possible to first establish in advance multiple users with it is multiple
The corresponding relationship of user's trade information searches with the search affiliated industry of user matched one or more in order to search for user
With user.
In an alternate embodiment of the present invention, by collecting multiple users on books platform, obtain each in multiple users
The historical behavior data of user.In turn, the historical behavior data of each user in multiple users are analyzed, and determine each affiliated row of user
The trade information of industry and affiliated industry.Finally, the trade information according to each user and the affiliated industry of each user, establishes user's row
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list by industry information list.In addition,
By the reading of user each in multiple users and/or books record storage can also be bought in the trade information list of user, with
Facilitate subsequent for search user's Recommended Books.
Books platform mentioned above can be books purchase platform, such as Amazon, Dangdang.com, Taobao, Jingdone district quotient
City etc.；It is also possible to books reading platform, such as digital library's mobile reading platform etc..Collect multiple use on books platform
Family can collect multiple users by collecting the User ID (mark) of the login user on each books platform, and then according to receipts
The User ID of each login user collected obtains the historical behavior data of each user, and according to the historical behavior number of each user
According to the trade information for determining the affiliated industry of user and affiliated industry.Historical behavior data may include, user's registration information,
History inputs information, browsing behavior information, buying behavior information, collection behavioural information, evaluation information etc..It certainly, as long as can be with
Determine that the historical behavior data of the trade information of industry belonging to user and affiliated industry belong to the scope of the present invention
Within, it is not specifically limited herein.In addition, by pair of user and user's trade information by the way of user's trade information list
It should be related to and be stored, can make more to accelerate when searching and matching user with the search matched one or more of the affiliated industry of user
It is prompt.
In another alternative embodiment of the present invention, by collecting multiple users in the circle of friends for searching for user, obtain more
The historical behavior data of each user in a user.In turn, the historical behavior data of each user in multiple users are analyzed, and are determined each
The trade information of the affiliated industry of user and affiliated industry.Finally, the trade information according to each user and the affiliated industry of each user,
User's trade information list is established, the corresponding relationship of the trade information of each user and each user is stored in user's trade information column
In table.It searches in the circle of friends of user and includes, have in the various social softwares that search user's registration uses with search user
The individual of mutual-action behavior or group, for example, searching for the QQ friends of user, wechat good friend, microblogging bean vermicelli, microblogging concern and searching
QQ group, QQ discussion group, wechat group that rope user is added etc..Furthermore it is also possible to by the reading of user each in multiple users and/
Or purchase books record storage is in the trade information list of user, it is subsequent for search user's Recommended Books to facilitate.
Step S108 and step S110 are seen above, if the user stored in user's trade information list is search user
User in circle of friends, when found from user's trade information list with the matched one or more users of search user it
Afterwards.The readings of acquisition one or more matching users and/or purchase books record, and one or more is matched to the readings of users
And/or purchase books record is combined in the corresponding search results pages of search term, and recommends search user as Recommended Books.
It is most of relatively intimate with the relationship of search user due to the user in the circle of friends of search user, there is jointly emerging
Interest hobby.Therefore, it is found from multiple users in the circle of friends of search user matched with industry belonging to search user
User, and matching the is obtained reading and/or purchaser record with user that is searching for user's phase same industry is supplied to search user,
The books for recommending search user can be made to be more suitable for searching for user's reading, more meet hobby and the reading of search user
Habit.
With continued reference to above step S108, in an alternate embodiment of the present invention, if also being wrapped in user's trade information list
Reading and/or the purchase books record for including each user in multiple users, the readings for obtaining one or more matching users and/
Or when purchase books record, the reading and/or purchase of one or more matching users can be obtained from user's trade information list
Buy books record.
Book recommendation method the present invention also provides another kind based on industry analysis, this method can according to books etc.
Grade is user's Recommended Books, and this method can be applied to books purchase platform, books reading platform or various search browsing
In device.Fig. 2 is the flow diagram of the book recommendation method in accordance with another embodiment of the present invention based on industry analysis.Referring to
Fig. 2, this method at least may include step S202 to step S212.
Step S202 obtains search and uses when receiving the Books Search request comprising search term from search user
The historical behavior data at family.
In this step, the historical behavior data for searching for user may include user's registration information, history input information, clear
Look at behavioural information, buying behavior information, collection behavioural information, evaluation information etc., the invention is not limited thereto.
Step S204, the historical behavior data of analysis search user, and determine industry belonging to search user.
Step S206 is searched and the search affiliated row of user in the corresponding relationship of the user and trade information that pre-establish
The matched one or more matching users of industry.
In this step, such as the industry of search user is IT industry, then from the user and trade information pre-established
Corresponding relationship in, search and belong to one or more user of IT industry.
Step S208 obtains reading and/or the purchase books record of one or more matching users.
In this step, reading and/or the purchase books record of one or more matching users, acquired reading are obtained
And/or purchaser record can be related to the search term of search user's input, it can also be unrelated with the search term of search user's input.
When the user's reading and/or the purchaser record search term that this is inputted to search user that get are related, for example, search user belongs to
In IT industry, and the search term for searching for user's input is " C language explanation ", then can obtain and belong to the other users of IT industry and read
The books about " C language explanation " read and/or bought.
Step S210 divides the corresponding books of the reading of one or more matching users and/or purchase books record
At multiple grades.
In this step, books are divided into multiple grades can name according to the complexity of books, according to each books
Claim that each books are divided into entry level books, promote grade books and present briefly and succinctly a grade books.It can also be according to the title of books, by books
It is divided into theoretical class books, mode of operation class books, the theoretical books for combining practical manner class.
Step S212 divides the reading of one or more matching users and/or purchase books record more according to books
A grade is combined in the corresponding search results pages of search term, and recommends search user as Recommended Books.
In this step, the books of recommendation can be shown in search result downside also or search results pages
Left side or right side, the present invention do not do specific restriction to the display position of Recommended Books.
In embodiments of the present invention, by the way that the books that will recommend search user are first divided into different grades, into
It and is search user's Recommended Books according to different brackets.Family can be used and quickly and easily select the figure for being suitble to oneself to read
Book has effectively saved user to the selection time of Recommended Books.
In order to more clearly embody the embodiment of the present invention, now with a specific embodiment to realization process of the invention into
Row is discussed in detail.
The embodiment of the present invention belongs to IT industry to search for user, and searches for user's search graph on a books purchase platform
For book.It is when searching for user's input " books of software test class " in the search box of books purchase platform referring to Fig. 3
System obtains the historical behavior data of search user first, determines search user by the historical behavior data of analysis search user
Belong to IT industry, then in the corresponding relationship of the user and trade information that pre-establish, finds the user for belonging to IT industry
A, user B and user C, respectively according to historical behavior data acquisition user A, user B and the user C of user A, user B and user C
With " books of software test class " close reading and/or purchase books record, for example, the browing record for getting user A is
" study course of software test basis ", " software testing technology: the test based on case " and " software test is from here on ", user B
Purchaser record be " software test actual combat-test Web MSN " and " software engineer's interview guide ", the purchase of user C
It is recorded as and " is proficient in mobile App test under battle conditions: technology, tool and case " and " be proficient in software performance test and LoadRunner most
Good actual combat ", by the complexity according to books, each books are divided by the title according to each books: entry level books, including
" study course of software test basis ", " software test is from here on " and " software engineer's interview guide "；Grade books are promoted,
Including " software test actual combat-test Web MSN ", " software testing technology: the test based on case " and " software testing technology is big
Complete: test basis, popular tool, project are under battle conditions "；A grade books are presented briefly and succinctly, including " are proficient in mobile App test under battle conditions: technology, tool
And case " and " being proficient in software performance test and the best actual combat of LoadRunner ".By according to after grade classification Recommended Books with
The search result of books is combined into current search results pages, and in this embodiment, the books of recommendation are shown in search result
In the display window of page lower end, and the books of same levels are located in identical display window, and different grades of books are located at not
In same display window, and then the books of recommendation are shown to search user.In practical applications, the books of recommendation can also be shown
Show in the positions such as the right side of search results pages or left side, the invention is not limited in this regard.
Based on the same inventive concept, the present invention also provides a kind of book recommendation device based on industry analysis, the device
It can be applied in books purchase platform, books reading platform or various search browsers.Fig. 4 is a reality according to the present invention
Apply the structural schematic diagram of the book recommendation device based on industry analysis of example.Referring to fig. 4, the book recommendation dress based on industry analysis
Set 400 at least may include the first acquisition module 410, analysis module 420, searching module 430, second obtain module 440 and
Recommending module 450.
Now introduce each composition of the book recommendation device 400 based on industry analysis of the embodiment of the present invention or the function of device
And the connection relationship between each section:
First obtains module 410, suitable for when receiving the Books Search comprising search term from search user and requesting,
Obtain the historical behavior data of search user；
Analysis module 420 is coupled with the first acquisition module 410, suitable for analyzing the historical behavior data of search user, and really
Surely industry belonging to user is searched for；
Searching module 430 is coupled with analysis module 420, suitable in the user pre-established pass corresponding with trade information
In system, searches and match user with the search matched one or more of the affiliated industry of user；
Second obtains module 440, couple with searching module 430, suitable for obtain the readings of one or more matching users with/
Or purchase books record；
Recommending module 450 couple with the second acquisition module 440, suitable for by one or more readings for matching users and/or
Purchase books record is combined in the corresponding search results pages of search term, and recommends search user as Recommended Books.
In an embodiment of the present invention, historical behavior data include at least one following, user's registration information, history input
Information, browsing behavior information, buying behavior information, collection behavioural information, evaluation information.
In an embodiment of the present invention, the second acquisition module 440 is further adapted for, obtain one or more matching users with search
The relevant reading of rope word and/or purchase books record.
In an embodiment of the present invention, recommending module 450 is further adapted for, firstly, by the reading of one or more matching users
And/or books corresponding to purchase books record are divided into multiple grades.Then, by the reading of one or more matching users
And/or purchase books record is combined in the corresponding search results pages of search term according to the multiple grades that books divide, and conduct
Recommended Books recommend search user.
In an embodiment of the present invention, recommending module 450 is further adapted for, according to each books title by each books be divided into
Gate leve books promote grade books and present briefly and succinctly a grade books.
Book recommendation device the present invention also provides another kind based on industry analysis, the device can be applied to books purchase
It buys in platform, books reading platform and various search browsers.Fig. 5 is in accordance with another embodiment of the present invention based on industry
The structural schematic diagram of the book recommendation device of analysis.Referring to Fig. 5, the book recommendation device 400 based on industry analysis is in addition to including
First in above-described embodiment, which obtains module 410, analysis module 420, searching module 430, second, obtains module 440 and recommends
It further include establishing corresponding relationship module 460 except module 450.
Corresponding relationship module 460 is established, is coupled with searching module 430, multiple users and multiple user's industries are adapted to set up
The corresponding relationship of information.
In an embodiment of the present invention, it establishes corresponding relationship module 460 to be further adapted for, firstly, collecting more on books platform
A user obtains the historical behavior data of each user in multiple users.Then, the historical behavior of each user in multiple users is analyzed
Data, and determine the trade information of each affiliated industry of user and affiliated industry.Finally, according to each user and the affiliated row of each user
The trade information of industry establishes user's trade information list, the corresponding relationship of the trade information of each user and each user is stored in
In user's trade information list.
In an alternative embodiment of the invention, it establishes corresponding relationship module 460 to be further adapted for, firstly, collecting the friend of search user
Multiple users in friend's circle, obtain the historical behavior data of each user in multiple users.Then, each user in multiple users is analyzed
Historical behavior data, and determine the trade information of each affiliated industry of user and affiliated industry.Finally, according to each user and respectively
The trade information of the affiliated industry of user establishes user's trade information list, by the correspondence of the trade information of each user and each user
Relationship is stored in user's trade information list.
In an embodiment of the present invention, include in the circle of friends for establishing the search user in corresponding relationship module 460,
There are individual or the group of mutual-action behavior in the various social softwares that search user's registration uses with search user.
In an embodiment of the present invention, further include in the user's trade information list established in corresponding relationship module 460,
The reading of each user and/or purchase books record in multiple users.
In an embodiment of the present invention, the second acquisition module 440 is further adapted for, and one is obtained from user's trade information list
Or reading and/or the purchase books record of multiple matching users.
According to the combination of any one above-mentioned preferred embodiment or multiple preferred embodiments, the embodiment of the present invention can reach
It is following the utility model has the advantages that
In embodiments of the present invention, first when receiving the Books Search request comprising search term from search user
The historical behavior data of search user are first obtained, and the historical behavior data of the search user got are analyzed, with true
Make the relevant information of industry belonging to search user and affiliated industry.Then the user's and trade information pre-established
In corresponding relationship, searches and match user with the search matched one or more of the affiliated industry of user.And then it obtains one or more
Reading and/or the purchase books record of user are matched, and one or more is matched to readings and/or the purchase books record of users
It is combined in the corresponding search results pages of search term, recommends search user as Recommended Books.It can be seen that when user searches for
When books, the embodiment of the present invention can determine industry belonging to user by the historical behavior data of analysis search user, into
And the book recommendation searched the other users with search user's same industry, and other users are read and/or bought is to search
User, to recommend the books for being more suitable for searching for user's reading for search user.Especially, when search user is not having clearly
In the case where reading or buying target, use method provided in an embodiment of the present invention that can recommend for search user more targeted
Books, saved search user and selected time of suitable books, to improve the experience of user in the books of magnanimity.
Further, the embodiment of the present invention will will first can recommend search and use when for search user's Recommended Books
The books at family are divided into different grades, and then are search user's Recommended Books according to different brackets.For example, according to the difficulty of books
Recommended Books are divided into entry level books, promote grade books and present briefly and succinctly a grade books by easy degree, and family can be used quickly and easily
The books for being suitble to oneself to read are selected, have effectively saved user to the selection time of Recommended Books.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment claimed it is one of any
Can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice
Microprocessor or digital signal processor (DSP) realize the book recommendation according to an embodiment of the present invention based on industry analysis
The some or all functions of some or all components in device.The present invention is also implemented as being retouched here for executing
The some or all device or device programs (for example, computer program and computer program product) for the method stated.
It is such to realize that program of the invention can store on a computer-readable medium, or can have one or more signal
Form.Such signal can be downloaded from an internet website to obtain, be perhaps provided on the carrier signal or with it is any its
He provides form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability
Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch
To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame
Claim.
So far, although those skilled in the art will appreciate that present invention has been shown and described in detail herein multiple shows
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or deduce out many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers all such other variations or modifications.
The embodiment of the invention also provides A1, a kind of book recommendation method based on industry analysis, comprising:
When receiving the Books Search request comprising search term from search user, going through for described search user is obtained
History behavioral data；
The historical behavior data of described search user are analyzed, and determine industry belonging to described search user；
In the corresponding relationship of the user and trade information that pre-establish, lookup is matched with the affiliated industry of described search user
One or more matching users；
Obtain reading and/or the purchase books record of one or more of matching users；
It is corresponding that the reading of one or more of matching users and/or purchase books record are combined to described search word
In search results pages, and described search user is recommended as Recommended Books.
A2, method according to a1, wherein the historical behavior data include at least one following:
User's registration information, history input information, browsing behavior information, buying behavior information, collection behavioural information, evaluation
Information.
A3, method according to a1 or a2, wherein further include: it establishes multiple users and the multiple user's industry is believed
The corresponding relationship of breath.
A4, method according to a3, wherein described to establish multiple users corresponding with the multiple user's trade information
Relationship, comprising:
Multiple users on books platform are collected, the historical behavior data of each user in the multiple user are obtained；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
A5, the method according to A3 or A4, wherein described to establish multiple users and the multiple user's trade information
Corresponding relationship, comprising:
Multiple users in the circle of friends of described search user are collected, the history row of each user in the multiple user is obtained
For data；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
A6, method according to a5, wherein include: to be infused in described search user in the circle of friends of described search user
There are individual or the group of mutual-action behavior in the various social softwares that volume uses with described search user.
A7, the method according to any one of A4-A6, wherein in user's trade information list further include: described
The reading of each user and/or purchase books record in multiple users.
A8, the method according to A7, wherein the reading and/or purchase for obtaining one or more of matching users
Buy books record, comprising:
Reading and/or the purchase books of one or more of matching users are obtained from user's trade information list
Record.
A9, the method according to any one of A1-A8, wherein described to obtain one or more of matching users'
It reads and/or purchase books records, further includes:
Obtain reading relevant to described search word and/or the purchase books record of one or more of matching users.
A10, the method according to any one of A1-A9, wherein by the reading of one or more of matching users
And/or purchase books record is combined in the corresponding search results pages of described search word, and is recommended as Recommended Books described
Search for user, comprising:
The corresponding books of the reading of one or more of matching users and/or purchase books record are divided into multiple
Grade；
By the readings of one or more of matching users and/or purchase books record, divided according to books multiple etc.
Grade is combined in the corresponding search results pages of described search word, and recommends described search user as Recommended Books.
A11, the method according to A10, wherein it includes: the title according to each books that books, which are divided into multiple grades,
Each books are divided into entry level books, promote grade books and present briefly and succinctly a grade books.
B12, a kind of book recommendation device based on industry analysis, comprising:
First obtains module, suitable for obtaining when receiving the Books Search request comprising search term from search user
Take the historical behavior data of described search user；
Analysis module suitable for analyzing the historical behavior data of described search user, and determines belonging to described search user
Industry；
Searching module, suitable for searching and being used with described search in the corresponding relationship of the user and trade information that pre-establish
The matched one or more matching users of the affiliated industry in family；
Second obtains module, suitable for obtaining reading and/or the purchase books record of one or more of matching users；
Recommending module, suitable for the reading of one or more of matching users and/or purchase books record are combined to institute
It states in the corresponding search results pages of search term, and recommend described search user as Recommended Books.
B13, device according to b12, wherein the historical behavior data include at least one following:
User's registration information, history input information, browsing behavior information, buying behavior information, collection behavioural information, evaluation
Information.
B14, the device according to B12 or B13, wherein further include:
Corresponding relationship module is established, the corresponding relationship of multiple users Yu the multiple user's trade information are adapted to set up.
B15, device according to b14, wherein the corresponding relationship module of establishing is further adapted for:
Multiple users on books platform are collected, the historical behavior data of each user in the multiple user are obtained；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
B16, the device according to B14 or B15, wherein the corresponding relationship module of establishing is further adapted for:
Multiple users in the circle of friends of described search user are collected, the history row of each user in the multiple user is obtained
For data；
The historical behavior data of each user in the multiple user are analyzed, and determine the affiliated industry of each user and institute
Belong to the trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, it will be described
The corresponding relationship of the trade information of each user and each user is stored in user's trade information list.
B17, the device according to B16, wherein in the circle of friends for establishing the search user in corresponding relationship module
In include: have in the various social softwares that described search user's registration uses with described search user mutual-action behavior individual or
Person group.
B18, the device according to any one of B15-B17, wherein described in described establish in corresponding relationship module
In user's trade information list further include: the reading of each user and/or purchase books record in the multiple user.
B19, the device according to B18, wherein the second acquisition module is further adapted for:
Reading and/or the purchase books of one or more of matching users are obtained from user's trade information list
Record.
B20, the device according to any one of B12-B19, wherein the second acquisition module is further adapted for:
Obtain reading relevant to described search word and/or the purchase books record of one or more of matching users.
B21, the device according to B12-B20, wherein the recommending module is further adapted for:
The corresponding books of the reading of one or more of matching users and/or purchase books record are divided into multiple
Grade；
The reading of one or more of matching users and/or purchase books are recorded into the multiple grades divided according to books
It is combined in the corresponding search results pages of described search word, and recommend described search user as Recommended Books.
B22, the device according to B21, wherein the recommending module is further adapted for:
Each books are divided into entry level books, promote grade books and present briefly and succinctly a grade books by the title according to each books.
Claims (20)
1. a kind of book recommendation method based on industry analysis, comprising:
When receiving the Books Search request comprising search term from search user, the history row of described search user is obtained
For data；
The historical behavior data of described search user are analyzed, and determine industry belonging to described search user；
In the corresponding relationship of the user and trade information that pre-establish, search and the affiliated industry of described search user matched one
A or multiple matching users；
Obtain reading and/or the purchase books record of one or more of matching users；
The reading of one or more of matching users and/or purchase books record are combined to the corresponding search of described search word
In result page, and described search user is recommended as Recommended Books；
Wherein, the reading of one or more of matching users and/or purchase books record are combined to described search word and corresponded to
Search results pages in, comprising: by the corresponding figure of the readings of one or more of matching users and/or purchase books record
Book is divided into multiple grades；By the reading of one or more of matching users and/or purchase books record, divided according to books
Multiple grades be combined in the corresponding search results pages of described search word.
2. according to the method described in claim 1, wherein, the historical behavior data include at least one following:
User's registration information, history input information, browsing behavior information, buying behavior information, collection behavioural information, evaluation letter
Breath.
3. method according to claim 1 or 2, wherein further include: it establishes multiple users and the multiple user's industry is believed
The corresponding relationship of breath.
4. according to the method described in claim 3, wherein, pair for establishing multiple users Yu the multiple user's trade information
It should be related to, comprising:
Multiple users on books platform are collected, the historical behavior data of each user in the multiple user are obtained；
The historical behavior data of each user in the multiple user are analyzed, and determine each affiliated industry of user and affiliated row
The trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, by each use
The corresponding relationship of the trade information of family and each user is stored in user's trade information list.
5. according to the method described in claim 3, wherein, pair for establishing multiple users Yu the multiple user's trade information
It should be related to, comprising:
Multiple users in the circle of friends of described search user are collected, the historical behavior number of each user in the multiple user is obtained
According to；
The historical behavior data of each user in the multiple user are analyzed, and determine each affiliated industry of user and affiliated row
The trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, by each use
The corresponding relationship of the trade information of family and each user is stored in user's trade information list.
6. according to the method described in claim 5, including: wherein, in the circle of friends of described search user in described search user
There are individual or the group of mutual-action behavior in the various social softwares registered to use with described search user.
7. according to the method described in claim 4, wherein, in user's trade information list further include: the multiple user
In each user reading and/or purchase books record.
8. according to the method described in claim 7, wherein, the readings for obtaining one or more of matching users and/or
Buy books record, comprising:
The reading and/or purchase books note of one or more of matching users are obtained from user's trade information list
Record.
9. method according to claim 1 or 2, wherein it is described obtain it is one or more of matching users readings and/
Or purchase books record, further includes:
Obtain reading relevant to described search word and/or the purchase books record of one or more of matching users.
10. method according to claim 1 or 2, wherein it includes: according to each books that books, which are divided into multiple grades,
Each books are divided into entry level books, promote grade books and present briefly and succinctly a grade books by title.
11. a kind of book recommendation device based on industry analysis, comprising:
First obtains module, suitable for obtaining institute when receiving the Books Search request comprising search term from search user
State the historical behavior data of search user；
Analysis module suitable for analyzing the historical behavior data of described search user, and determines industry belonging to described search user；
Searching module, suitable for searching and described search user institute in the corresponding relationship of the user and trade information that pre-establish
Belong to the matched one or more matching users of industry；
Second obtains module, suitable for obtaining reading and/or the purchase books record of one or more of matching users；
Recommending module, suitable for the reading of one or more of matching users and/or purchase books record are combined to described search
In the corresponding search results pages of rope word, and described search user is recommended as Recommended Books；
The recommending module is further adapted for: will be corresponding to the reading of one or more of matching users and/or purchase books record
Books be divided into multiple grades；The reading of one or more of matching users and/or purchase books are recorded according to books
The multiple grades of division are combined in the corresponding search results pages of described search word.
12. device according to claim 11, wherein the historical behavior data include at least one following:
User's registration information, history input information, browsing behavior information, buying behavior information, collection behavioural information, evaluation letter
Breath.
13. device according to claim 11 or 12, wherein further include:
Corresponding relationship module is established, the corresponding relationship of multiple users Yu the multiple user's trade information are adapted to set up.
14. device according to claim 13, wherein the corresponding relationship module of establishing is further adapted for:
Multiple users on books platform are collected, the historical behavior data of each user in the multiple user are obtained；
The historical behavior data of each user in the multiple user are analyzed, and determine each affiliated industry of user and affiliated row
The trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, by each use
The corresponding relationship of the trade information of family and each user is stored in user's trade information list.
15. device according to claim 13, wherein the corresponding relationship module of establishing is further adapted for:
Multiple users in the circle of friends of described search user are collected, the historical behavior number of each user in the multiple user is obtained
According to；
The historical behavior data of each user in the multiple user are analyzed, and determine each affiliated industry of user and affiliated row
The trade information of industry；
According to the trade information of each user and the affiliated industry of each user, user's trade information list is established, by each use
The corresponding relationship of the trade information of family and each user is stored in user's trade information list.
16. device according to claim 15, wherein in the friend for establishing the search user in corresponding relationship module
It include: the individual for having mutual-action behavior with described search user in the various social softwares that described search user's registration uses in circle
Or group.
17. device according to claim 14, wherein in the user's industry letter established in corresponding relationship module
It ceases in list further include: the reading of each user and/or purchase books record in the multiple user.
18. device according to claim 17, wherein the second acquisition module is further adapted for:
The reading and/or purchase books note of one or more of matching users are obtained from user's trade information list
Record.
19. device according to claim 11 or 12, wherein the second acquisition module is further adapted for:
Obtain reading relevant to described search word and/or the purchase books record of one or more of matching users.
20. device according to claim 11 or 12, wherein the recommending module is further adapted for:
Each books are divided into entry level books, promote grade books and present briefly and succinctly a grade books by the title according to each books.
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| CN108319612A (en) * | 2017-01-17 | 2018-07-24 | 百度在线网络技术（北京）有限公司 | Audient's Media Recommendation Method and system |
| CN107682388B (en) * | 2017-07-24 | 2020-01-24 | 深圳壹账通智能科技有限公司 | Information push suggestion generation method and device, computer equipment and storage medium |
| CN107545521A (en) * | 2017-09-01 | 2018-01-05 | 安徽教育网络出版有限公司 | The educational Publishing of personalized resource service and application service system platform |
| CN107679166B (en) * | 2017-09-27 | 2020-07-03 | 风变科技（深圳）有限公司 | Fragmentation reading method, device and system for online payment and storage medium |
| CN107886390B (en) * | 2017-09-30 | 2019-09-06 | 北京小蓦机器人技术有限公司 | Method, equipment, system and the storage medium of the actual demand resource of user are provided |
| WO2019090741A1 (en) * | 2017-11-10 | 2019-05-16 | 深圳市华阅文化传媒有限公司 | Method and apparatus for recommending books for user to read |
| CN108491434A (en) * | 2018-02-09 | 2018-09-04 | 深圳前海道己社文化有限公司 | Article methods of exhibiting, device and terminal based on wechat public platform |
| CN108595504B (en) * | 2018-03-20 | 2023-09-29 | 山东中教传媒有限公司 | Book management and control service platform |
| CN108984752B (en) * | 2018-07-17 | 2021-06-04 | 华北理工大学 | Intelligent recommendation method for professional books in library |
| CN110381115B (en) * | 2019-06-14 | 2022-03-11 | 平安科技（深圳）有限公司 | Information pushing method and device, computer readable storage medium and computer equipment |
| CN110851710A (en) * | 2019-10-28 | 2020-02-28 | 上海连尚网络科技有限公司 | Novel recommendation method and device |
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