CN117390284A - Book recommendation method, device, medium and electronic equipment - Google Patents

Book recommendation method, device, medium and electronic equipment Download PDF

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Publication number
CN117390284A
CN117390284A CN202311460565.3A CN202311460565A CN117390284A CN 117390284 A CN117390284 A CN 117390284A CN 202311460565 A CN202311460565 A CN 202311460565A CN 117390284 A CN117390284 A CN 117390284A
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China
Prior art keywords
candidate
book
topic
books
text
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CN202311460565.3A
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Chinese (zh)
Inventor
荆川启
张秋仪
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Beijing Zitiao Network Technology Co Ltd
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Beijing Zitiao Network Technology Co Ltd
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Priority to CN202311460565.3A priority Critical patent/CN117390284A/en
Publication of CN117390284A publication Critical patent/CN117390284A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/332—Query formulation
    • G06F16/3329—Natural language query formulation or dialogue systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • 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
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • 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
    • G06F16/957—Browsing optimisation, e.g. caching or content distillation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/04817—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0483—Interaction with page-structured environments, e.g. book metaphor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G06F3/0485—Scrolling or panning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The disclosure relates to a book recommendation method, a device, a medium and an electronic device, wherein the method comprises the following steps: receiving triggering operation of a user on a target topic, and determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books; displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface; book recommendation information corresponding to the target topic is determined based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.

Description

Book recommendation method, device, medium and electronic equipment
Technical Field
The disclosure relates to the technical field of computers, in particular to a book recommendation method, a device, a medium and electronic equipment.
Background
With the development of random computer technology, a user can read books through a terminal device. The current book reading application can support the recommendation and interaction among different users, and the related technology can support the addition of books in the corresponding bookshelf when the users recommend the books.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
In a first aspect, the present disclosure provides a book recommendation method, the method comprising:
receiving triggering operation of a user on a target topic, and determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books;
displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface;
book recommendation information corresponding to the target topic is determined based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.
In a second aspect, the present disclosure provides a book recommendation apparatus, the apparatus comprising:
The first determining module is used for receiving triggering operation of a user on a target topic, determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books;
the first display module is used for displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface;
the second determining module is used for determining book recommendation information corresponding to the target topic based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.
In a third aspect, the present disclosure provides a computer readable medium having stored thereon a computer program which when executed by a processing device performs the steps of the method of the first aspect.
In a fourth aspect, the present disclosure provides an electronic device comprising:
a storage device having a computer program stored thereon;
processing means for executing said computer program in said storage means to carry out the steps of the method of the first aspect.
According to the technical scheme, when the user wants to conduct book recommendation based on the target topics, corresponding topic candidate books and candidate recommendation texts can be automatically determined from books associated with the user, and are displayed for the user to be selected by the user for book recommendation. Therefore, through the technical scheme, the operation flow of book recommendation by the user can be effectively simplified, meanwhile, the user can be supported to recommend books from each related book, the user does not need to manually search related books, the user operation is saved, meanwhile, the user book selection flow is convenient, the damage of recommended resources caused by the fact that the user cannot quickly find the books to be recommended is avoided, the diversity and the comprehensiveness of the recommended books can be effectively increased, and the user experience is improved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale. In the drawings:
FIG. 1 is a flow chart of a book recommendation method provided in accordance with one embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a book recommendation interface provided in accordance with one embodiment of the present disclosure;
FIG. 3 is a schematic illustration of a book recommendation interface provided in accordance with another embodiment of the present disclosure;
FIG. 4 is a schematic illustration of a book recommendation interface provided in accordance with another embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a content-referenced text editing interface provided in accordance with one embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a book display interface provided in accordance with one embodiment of the present disclosure;
FIG. 7 is a schematic diagram of a book display interface provided in accordance with one embodiment of the present disclosure;
FIG. 8 is a block diagram of a book recommendation device provided in accordance with one embodiment of the present disclosure;
fig. 9 shows a schematic structural diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
It will be appreciated that prior to using the technical solutions disclosed in the embodiments of the present disclosure, the user should be informed and authorized of the type, usage range, usage scenario, etc. of the personal information related to the present disclosure in an appropriate manner according to the relevant legal regulations.
For example, in response to receiving an active request from a user, a prompt is sent to the user to explicitly prompt the user that the operation it is requesting to perform will require personal information to be obtained and used with the user. Thus, the user can autonomously select whether to provide personal information to software or hardware such as an electronic device, an application program, a server or a storage medium for executing the operation of the technical scheme of the present disclosure according to the prompt information.
As an alternative but non-limiting implementation, in response to receiving an active request from a user, the manner in which the prompt information is sent to the user may be, for example, a popup, in which the prompt information may be presented in a text manner. In addition, a selection control for the user to select to provide personal information to the electronic device in a 'consent' or 'disagreement' manner can be carried in the popup window.
It will be appreciated that the above-described notification and user authorization process is merely illustrative and not limiting of the implementations of the present disclosure, and that other ways of satisfying relevant legal regulations may be applied to the implementations of the present disclosure.
Meanwhile, it can be understood that the data (including but not limited to the data itself, the acquisition or the use of the data) related to the technical scheme should conform to the requirements of the corresponding laws and regulations and related regulations.
As described in the background art, a user may select books in his bookshelf when recommending books, thereby recommending books. Through research, if a user wants to recommend books outside the bookshelf, the user is usually required to search for books to recommend the books, and the user is inconvenient to operate. Based on this, the present disclosure provides the following examples.
Fig. 1 is a flowchart of a book recommendation method according to an embodiment of the disclosure, and as shown in fig. 1, the method may include:
in step 11, a triggering operation of a user on a target topic is received, and a topic candidate book corresponding to the target topic and a candidate recommended text corresponding to the topic candidate book in books associated with the user are determined, wherein the candidate recommended text is determined based on a reference text of the topic candidate book and/or a comment text of the user on the topic candidate book.
Different users can issue topics in the topic interface to describe information of books intended by the users, and when other users see the topics and want to reply to the topics to conduct book recommendation, the corresponding topics can be selected. As another example, the target topic may also be a topic initiated by the user himself.
In one possible embodiment, the user-associated book comprises a book in at least one of the following dimensions: bookshelf dimension, browsing history dimension, recommendation history dimension and comment history dimension.
The books in the bookshelf dimension comprise books added into the bookshelf by the user, the books in the browsing history dimension comprise books browsed by the user, the books in the recommending history dimension comprise books recommended by the user, and the books in the comment history dimension comprise books rated by the user.
As an example, the topic candidate books may be selected and determined by a user, for example, a book recommendation interface may be displayed, in which a plurality of labels may be displayed, as shown in fig. 2, and books in each label dimension, such as a bookshelf, a browsing history, a recommendation history, and a comment history, are sequentially displayed in the book recommendation interface, so that the user can select the books in the corresponding label dimension, thereby obtaining the corresponding topic candidate books.
If the user selects the recommendation history dimension, the books recommended by the user can be displayed in a book recommendation interface to be used as candidate books for the user to select.
In step 12, the topic candidate books and the candidate recommended texts corresponding to the topic candidate books are displayed on the book recommendation interface.
As an example, topic candidate books may be displayed in a default display tab page in a book recommendation interface, while books may be displayed as multiple dimension tabs simultaneously in the book recommendation interface, so that a user may be able to select again in connection with books in multiple dimensions. As shown in fig. 3.
As an example, the candidate recommended texts corresponding to the topic candidate books may be part of the texts or all the texts in the candidate recommended texts, for example, a threshold of the number of the candidate recommended texts to be displayed may be set, and if the number of the candidate recommended texts corresponding to the topic candidate books exceeds the threshold of the number, the candidate recommended texts with the threshold of the number are selected from the candidate recommended texts to be displayed.
In step 13, book recommendation information corresponding to the target topic is determined based on the topic candidate book and the candidate recommendation text corresponding to the topic candidate book.
As an example, the user may select from the topic candidate books and the candidate recommended texts corresponding thereto, and may take the selected topic candidate book as the target recommended book and take the text selected from the candidate recommended texts corresponding to the topic candidate book as the target recommended text of the target recommended book.
According to the technical scheme, when the user wants to conduct book recommendation based on the target topics, corresponding topic candidate books and candidate recommendation texts can be automatically determined from books associated with the user, and are displayed for the user to be selected by the user for book recommendation. Therefore, through the technical scheme, the operation flow of book recommendation by the user can be effectively simplified, meanwhile, the user can be supported to recommend books from each related book, the user does not need to manually search related books, the user operation is saved, meanwhile, the user book selection flow is convenient, the damage of recommended resources caused by the fact that the user cannot quickly find the books to be recommended is avoided, the diversity and the comprehensiveness of the recommended books can be effectively increased, and the user experience is improved.
As another example, topic candidate books may be automatically determined based on a target topic and a book associated by a user, based on which the present disclosure provides the following embodiments.
In a possible embodiment, the determining, among the books associated with the user, topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books may include:
And matching candidate texts corresponding to the books associated with the users based on the target topics, wherein the candidate texts comprise reference texts in the books associated with the users and comment texts of the users on the books.
As an example, the topic content of the target topic may be matched with the candidate text, such as the similarity between the two texts, which may be determined based on text similarity calculations common in the art. If the similarity is greater than the set threshold, the target topic is considered to be matched with the candidate text, and the higher the similarity between the target topic and the candidate text is, the higher the matching degree between the book corresponding to the candidate text and the target topic can be considered.
And if the matched candidate texts are matched, taking books corresponding to the matched candidate texts as topic candidate books, and determining the matched candidate texts as candidate recommended texts corresponding to the topic candidate books.
Therefore, topic candidate books and candidate recommended texts with higher matching degree with the target topics in books associated with the user can be directly obtained based on the matching between the target topics and the candidate texts through the technical scheme, so that book selection operation and recommended text editing operation in book recommendation by the user are effectively reduced, and the book recommendation flow is simplified.
In another possible embodiment, the determining the topic candidate book corresponding to the target topic and the candidate recommended text corresponding to the topic candidate book in the book associated with the user may include:
based on the topic content of the target topic, topic candidate books corresponding to the target topic are determined from books associated with the user.
As an example, keyword retrieval may be performed from topic content of a target topic, such as keywords for performing book selection may be preset, such as setting individual book types, author types, book publication dates, publishers, and the like as keywords. Keyword retrieval, such as keyword matching or keyword synonym retrieval, can be performed from the topic content of the target topic, so that corresponding keywords can be determined from the topic content.
In this embodiment, the books corresponding to the retrieved keywords in the books associated with the user may be determined as topic candidate books corresponding to the target topic.
As an example, if the keyword retrieved from the topic content of the target topic is a book type, if the user associated book is suspicion, the book corresponding to the book type may be determined as a topic candidate book corresponding to the target topic.
As another example, if the keyword retrieved from the topic content of the target topic is an author type, a book corresponding to the author type may be determined as a topic candidate book corresponding to the target topic from the book associated with the user.
And then, according to the candidate texts corresponding to the topic candidate books, determining candidate recommended texts corresponding to the topic candidate books, wherein the candidate texts comprise reference texts in books associated with the users and/or comment texts of the users on the books.
As an example, candidate texts corresponding to topic candidate books may all be used as candidate recommended texts for selection by a user. As another example, N texts having the latest generation times among candidate texts may be taken as candidate recommended texts.
Therefore, based on the technical scheme, the corresponding topic candidate books can be determined firstly based on the target topic, the corresponding candidate recommended texts are determined from the corresponding candidate texts, the candidate books related to the target topic can be determined without manual selection of a user for book browsing screening, the initial screening is performed for book recommendation of the user, and the process of performing book recommendation by the user is simplified.
In a possible embodiment, the books obtained by automatic matching in the above embodiment and the books selected by the user from the tag dimensions may be included in the topic candidate books, so as to improve the richness of the topic candidate books. If the books automatically matched based on the embodiment are added to the book combination, after the books are displayed, if the books are selected by the user from other tag dimensions, the books selected by the user in each tag dimension are also added to the book combination for buffering. Therefore, books in multiple tag dimensions can be recommended together, the diversity of recommended books is improved, and meanwhile, the books in multiple dimensions can be displayed in one recommended book.
In one possible embodiment, if the user selects a tab of the bookshelf dimension at the book recommendation interface, the candidate books under the tab may be displayed by displaying each book in the bookshelf according to the time added to the bookshelf from the late to early time.
In one possible embodiment, if the user selects the tab of the browsing history dimension in the book recommendation interface, the candidate books under the tab may be displayed according to the browsing time of the books from late to early.
In one possible embodiment, if the user selects a tag with a comment history dimension on the book recommendation interface, the candidate books under the tag may be displayed according to the time from the late to the early of the comment time of the book. Further, each candidate book and comment information of the user for the candidate book can be displayed in the book recommendation interface, so that the user can further define books which the user wants to recommend based on the comment information.
In one possible embodiment, if the user selects a tag of the recommendation history dimension in the book recommendation interface, when displaying the candidate books under the tag, the method may include:
and acquiring a corresponding historical recommendation theme in the recommendation history dimension, and determining books recommended based on the historical recommendation theme as the candidate books.
The recommendation history of the user is usually recommended based on the published historical topics, so that when the user makes a recommendation, the user can record the recommended topics, namely the historical topics, the booklet names and the like, as historical recommendation topics, and record books recommended by the user under the historical recommendation topics. In the recommendation history dimension, books recommended under each history recommendation topic may be displayed as a group in units of history recommendation topics.
And then, displaying each historical recommendation theme in the book recommendation interface according to the sequence of the recommendation time corresponding to the historical recommendation theme from late to early, and displaying the corresponding candidate books under the historical recommendation theme in the catalog of the historical recommendation theme.
As shown in fig. 4, when the user selects the history recommendation dimension to display the book selection interface, each history recommendation theme may be displayed in the book recommendation interface in turn, and books recommended under the history recommendation theme may be displayed in combination.
Under the example, the user can select the corresponding books candidate through the corresponding selection control of the books candidate, and can also directly select all books candidate under the theme based on the corresponding selection control of the history recommendation theme, so that the user can be supported to select a single book candidate, and also can be supported to select a group of books, the user can conveniently and quickly select the books which the user wants to recommend, and the user experience is improved.
Through the technical scheme, the books which are candidates for the book display can be displayed orderly under each dimension of the display label, so that a user can find the books to be recommended quickly, and the resource damage during the selection of the books is reduced.
In one possible embodiment, the candidate text comprises a reference text in a book associated with the user, the reference text comprising a bookmark text and/or a note text in the book.
The book reading method comprises the steps that a book reading text is used for showing a text of a user for marking in a book, the user reads a book S1 and marks an interested part of the book during reading, and the marked part is the book reading text of the user in the target recommended book; the note text is used to represent endorsement text added by the user in the book. The user selects and adds endorsement text to the interested part during reading, and the endorsement text can be used as note text. In one possible embodiment, the portion of text selected by the user in the book in creating the note text may also be referred to as the abstract text.
Accordingly, the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book includes:
if the reference text of the user in the topic candidate books is not null, displaying the reference text in sequence according to the catalogue information in the topic candidate books;
Accordingly, if the reference text is not null, the reference text may be sequentially displayed in the content reference text editing interface in order of the directory information of the topic candidate book from front to back, as shown in fig. 5. If the user wants to associate the reference text for the corresponding book, the book editing interface may be displayed, in which a reference text addition control may be included. And in response to receiving a selection operation of the reference text adding control by the user, displaying a content reference text editing interface to display the determined content reference text in the content reference text editing interface.
As another example, labels may be set for the abstract text and the note text, respectively, to display different reference texts, respectively, in a similar manner to the above description, and will not be repeated here. In fig. 5, a schematic diagram is shown for the abstract text and the note text, where the corresponding label at XXX1 is the abstract text and the corresponding label at XXX2 is the note text.
In another possible embodiment, in response to a selection operation of the user on the reference text, the selected reference text is determined as a candidate recommended text corresponding to the topic candidate book.
Then, the user can select the reference text which the user wants to associate with the topic candidate book, for example, the user can select through a selection control corresponding to each reference text in fig. 5, so that the candidate recommended text corresponding to the topic candidate book can be determined.
Therefore, through the technical scheme, the candidate recommended text can be determined based on the reference text corresponding to the topic candidate book by the user, so that the matching degree between the recommended text and the recommended intention of the user is ensured, and meanwhile, the user operation can be saved. In addition, when the books are recommended and displayed later, part of the reference text in the books can be displayed at the same time, so that the interest degree of other users on the recommended books is improved.
As another example, the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book may include:
and if the reference text of the user in the topic candidate books is empty, acquiring book reference text which corresponds to the topic candidate books and has a text length within a preset length range.
In this embodiment, the user may not have the habit of marking or adding notes when reading some books, that is, there is no reference text corresponding to the user in the target recommended book, and in this scenario, the reference text corresponding to the topic candidate book may be obtained, that is, the reference text added in the book by each user who reads the topic candidate book.
The preset length range can be set according to an actual application scene, if the reference text is too short, the user cannot know the specific description of the text content conveniently, and if the reference text is too long, the user cannot conveniently display the text, and if the word number of the preset length range can be set as [10,60], the reference text in the topic candidate book can be extracted, and the reference text with the text length within [10,60] is used as the book reference text.
And then, according to the reference times and the text length of the book reference text, determining the candidate recommended text of the topic candidate book.
The number of times of the reference text of the book can be the number of users selecting the reference text of the book, so that the attention heat of the reference text of the book in the book can be represented. In this embodiment, the text length of the book reference text may represent the display feature of the book reference text, the number of references may characterize the popularity of the book reference text, and determining the candidate recommended text based on both may improve the rationality of the determined candidate recommended text and the matching with the topic candidate book.
As an example, the determining the candidate recommended text of the topic candidate book according to the reference number and the text length of the book reference text may include:
Determining candidate reference texts and display sequences of the candidate reference texts according to the reference times and the text length of the book reference texts, and displaying the candidate reference texts according to the display sequences;
and responding to the selection operation of the user on the candidate reference text, and determining the selected candidate reference text as the candidate recommended text of the topic candidate book.
As an example, the books may be sorted according to the order of the number of times of the reference corresponding to the books, and for the books having the same number of times of the reference, the books may be sorted according to the deviation value between the text length of the books and the preset length. For example, if the preset length is 50 and the text length of the book reference text is expressed as num, the book reference text with the same reference number may be ordered in the order of |num-50| from the high order.
As an example, the book reference text displayed in the previous M after the ranking may be presented as a candidate reference text, and the ranking may be presented as a display sequence corresponding to the candidate reference text, so that the user may select the reference text meeting the requirement from among the candidate reference texts to be presented in association with the target recommended book.
Further, the determined candidate reference text can be displayed, and then the user can select the corresponding candidate reference text, and the selected candidate reference text is determined to be the candidate recommended text based on the selection operation of the user.
Therefore, according to the technical scheme, books with reference texts not added by users can be added according to the popular reference texts in the books, so that the popular contents in the books can be displayed simultaneously when the books are displayed, and better and more comprehensive recommendation can be performed for users viewing target topics.
In one possible embodiment, the candidate text includes comment text of the user for the book with which the user is associated;
the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book may include:
and determining comment texts of the users on the topic candidate books as candidate recommended texts corresponding to the topic candidate books.
By way of example, the comment text of the book before the user can be directly used as the candidate recommended text corresponding to the book, so that automatic generation and determination of the candidate recommended text are realized, and the matching degree between the candidate recommended text and the corresponding book is ensured while the operation flow of recommending the book by the user is simplified.
Therefore, through the technical scheme, the comment text of the user can be used as the candidate recommended text at the same time when the books are recommended, so that other users can know the books further, the accuracy and convenience of book recommendation are guaranteed, meanwhile, the user looking up the target topic can conveniently and rapidly select the books interested in the user from the recommended books, and the accuracy of book recommendation is improved.
In a possible embodiment, the topic candidate books are books in a recommendation history dimension corresponding to the user;
the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book comprises the following steps:
and determining candidate recommended texts corresponding to the topic candidate books according to recommended texts when the topic candidate books are recommended under the recommendation history dimension.
In this embodiment, the topic candidate book is a book that has been recommended before by the user, so that in order to save user operations, the recommended text when the user recommended the book before may be used as the candidate recommended text, so that the user does not need to edit the recommended text multiple times when recommending the same book, and user operations are saved.
As an example, if the recommended texts when the user previously recommended the book are the same, the recommended texts may be directly used as the current candidate recommended texts for the topic candidate book, and if the recommended texts when the user previously recommended the book are different, the recommended texts may be numbered and integrated in the order of the recommended time from late to early, or the recommended text with the latest recommended time may be used as the candidate recommended text.
Therefore, through the technical scheme, the candidate recommended text can be determined based on the historical recommended text of the book for the book which is recommended by the user before, and the user does not need to edit again so as to be convenient for realizing quick recommendation of the book.
In one possible embodiment, the book recommendation information corresponding to the target topic includes a target recommended book under the target topic and a target recommended text corresponding to the target recommended book.
As an example, after the topic candidate book and the candidate recommended text corresponding to the topic candidate book are displayed on the book recommendation interface, if the user directly confirms, the topic candidate book may be used as the target recommended book, and the displayed candidate recommended text may be used as the target recommended text.
As another example, after the book recommendation interface displays the topic candidate books and the candidate recommendation texts corresponding to the topic candidate books, the user may select a corresponding target recommendation book from the topic candidate books to recommend, and then the disclosure further provides the following embodiments.
Accordingly, the determining book recommendation information corresponding to the target topic based on the topic candidate book and the candidate recommendation text corresponding to the topic candidate book may include:
determining a topic candidate book selected by the user as the target recommended book in response to a selection operation of the user;
and responding to the editing operation of the user on the candidate recommended texts of the target recommended books in the book recommendation interface, editing the candidate recommended texts, and determining the texts obtained after the editing process as target recommended texts of the target recommended books.
In this embodiment, the user may further select a book from among the topic candidate books, and may take the selected book as the target recommended book.
Meanwhile, the user can edit the candidate recommended texts, and the candidate recommended texts can be comment texts corresponding to books, recommended texts in the previous recommendation process and the like as described above, and the candidate recommended texts can be displayed in an editing interface.
In a possible embodiment, the book recommendation information corresponding to the target topic includes a target recommended book under the target topic and a target recommended text corresponding to the target recommended book;
the method further comprises the steps of:
and in a book display interface corresponding to the target topic, displaying the target recommended text corresponding to the target recommended book and the target recommended book in one-to-one association.
For example, a book card may be displayed for each target recommended book in the book display interface, and the target recommended text display card may be included in the book card to display the book recommendation information.
Therefore, when books are recommended, the target recommended text can be determined for a single target recommended book, so that the target recommended text corresponds to the target recommended book, the corresponding target recommended text can be displayed while the target recommended book is displayed, the condition that the corresponding relation between the plurality of recommended books in the recommended book and the single book is disordered when the recommendation information corresponding to the whole book is added for the plurality of recommended books in the related technology is avoided, the effectiveness and the accuracy of book recommendation are ensured, and the use and the watching requirements of users are met.
In one possible embodiment, the target recommendation text comprises a plurality of reference text.
As an example, a threshold of the number of cited texts contained in the target recommended texts may be set, and after the number of cited texts selected by the user exceeds the threshold, a prompt may be output to prompt the user that the number of cited texts exceeds the threshold, so that the user makes a selection again or keeps an existing selection to submit.
As an example, a plurality of target recommended books are sequentially displayed in the book display interface, and each reference text in the target recommended texts thereof is sequentially displayed below the target recommended books, so as to be convenient for a user to view.
As another example, in the book display interface corresponding to the target topic, the one-to-one association display of the target recommended text corresponding to the target recommended book and the target recommended book may include:
displaying book cards in the book display interface, wherein each target recommended book corresponds to one book card, the book cards comprise a first display area and a second display area, the first display area is used for displaying book information of the target recommended book, the second display area comprises at least one reference text card, one reference text card is displayed in the second display area at the same time, and each reference text card is used for displaying one reference text of the target recommended book;
As shown in fig. 6, two book cards may be displayed in the book display interface, for displaying books 1 and 2, respectively, taking book 1 as an example, the first display area X1 is used for displaying book information of a target recommended book, such as attribute information of a book name, an author name, a book category, and the like. The second display area X2 may include three reference text cards K1-K3, respectively displaying three reference texts of the target recommended book. Wherein, a reference text card is displayed in the second display area at the same time, that is, only one reference text card is displayed at a time, for example, as shown in fig. 6, reference text card K1 is displayed, and reference text cards K2 and K3 are not displayed.
The method further comprises the steps of:
and responding to the received sliding operation of the reference text card aiming at the target recommended books, and switching and displaying the reference text in the target recommended texts of the target recommended books according to the sequence indicated by the sliding operation.
For example, if the user wants to switch the display of the reference text for viewing, he can slide the reference text card to effect the switching of the reference text card. The display order of the reference text may be determined according to the order of addition of the reference text to the target recommended text, and the loop display may be performed according to the display order. If the sliding operation is left sliding, the sequence indicated by the sliding operation is the next reference text card, and if the sliding operation is right sliding, the sequence indicated by the sliding operation is the last reference text card.
If the determined display sequence is K1, K2, and K3, the reference text card K1 is displayed during initial display, and if the received sliding operation is left sliding, the reference text card to be displayed may be determined to be K2 according to the sequence indicated by the left sliding, that is, the next reference text card, that is, the second reference text of the target recommended book is switched to be displayed, as shown in fig. 7.
Therefore, through the technical scheme, the user can view the reference text in the target recommended text of the recommended book through sliding operation, so that a plurality of reference texts can be displayed in the book display interface, and the sequential display of more content reference texts on the target recommended book can be avoided, so that the user can conveniently view a plurality of target recommended books and target recommended texts under the target topic.
As an example, a recommended text card for presenting texts other than the reference text in the target recommended text may be also included in the book card, such as recommended information displayed in the third display area X3 shown in fig. 6 and 7.
In one possible embodiment, the method may further comprise:
and responding to receiving a selection operation of a reference text corresponding to the target recommended book, and displaying book text content corresponding to the position of the reference text in the target recommended book.
As an example, the reference text may include a position thereof so as to be linked to the text content of the target recommended book, for example, the position may be a position of the reference text in a section of the target recommended book corresponding to a chapter, or may be a position of a page, which is not limited in the disclosure. If the position of the reference text is the chapter and paragraph position, when the user clicks the corresponding reference text in the book display interface, if the position of the reference text is chapter 2 and paragraph 3, the text content of chapter 2 and paragraph 3 in the target recommended book can be displayed directly based on the position.
Therefore, the user can skip text content in the books by selecting the reference text, so that the user can read according to own interests, the convenience of reading the books based on recommendation is improved, and the interaction diversity of book recommendation is further improved.
In a possible embodiment, the book recommendation information corresponding to the target topic includes a target recommendation text corresponding to a target recommended book under the target topic;
the method further comprises the steps of:
performing text processing on a target recommended text corresponding to the target recommended book based on the topic content of the target topic to obtain a processed text after text processing;
And updating book recommendation information corresponding to the target topics according to each target recommended book and the processing text corresponding to the target recommended book.
As an example, the target recommended text may be reprocessed, for example, a corresponding recommendation template may be determined based on the topic content of the target topic, for example, recommendation templates of different types of topics may be preset, and normalization processing may be performed on the target recommended text based on the recommendation templates, so as to obtain the book recommendation information. As an example, the topic content may be analyzed, and the type of the target topic may be determined from a preset plurality of types, thereby determining the recommendation template.
As another example, the target recommended text may be reprocessed based on a text processing model, which may be a model used in the art for natural language processing, which may be trained in advance. In an embodiment, topic content of a target topic and target recommended text may be input into the text processing model, thereby obtaining processed text that more matches the topic content. If a target recommended book is aimed at, the target recommended text contains comment text of the book and recommended text when the user recommends the book before, and comment text and recommended text are processed based on a text processing model and topic content, so that the obtained processing text can integrate the comment text and the recommended text, and meanwhile updated book recommendation information is more in line with expression logic of natural language, user experience is further improved, and understanding of other users on book recommendation information is improved.
Based on the same inventive concept, the present disclosure further provides a book recommendation device, as shown in fig. 8, the device 10 includes:
the first determining module 100 is configured to receive a triggering operation of a user on a target topic, determine a topic candidate book corresponding to the target topic and a candidate recommended text corresponding to the topic candidate book in a book associated with the user, where the candidate recommended text is determined based on a reference text of the topic candidate book and/or a comment text of the user on the topic candidate book;
the first display module 200 is configured to display, on a book recommendation interface, the topic candidate books and candidate recommendation texts corresponding to the topic candidate books;
the second determining module 300 is configured to determine book recommendation information corresponding to the target topic based on the topic candidate book and the candidate recommendation text corresponding to the topic candidate book.
Optionally, the user-associated book comprises a book in at least one dimension of: bookshelf dimension, browsing history dimension, recommendation history dimension and comment history dimension.
Optionally, the first determining module includes:
a matching sub-module, configured to match, based on the target topic, a candidate text corresponding to a book associated with the user, where the candidate text includes a reference text in the book associated with the user and a comment text of the user on the book;
The first determining submodule is used for taking books corresponding to the matched candidate texts as the topic candidate books if the matched candidate texts are matched, and determining the matched candidate texts as candidate recommended texts corresponding to the topic candidate books.
Optionally, the first determining module includes:
a second determining sub-module, configured to determine, from books associated with the user, topic candidate books corresponding to the target topic based on topic content of the target topic;
and the third determining submodule is used for determining candidate recommended texts corresponding to the topic candidate books according to the candidate texts corresponding to the topic candidate books, wherein the candidate texts comprise reference texts in books associated with the users and/or comment texts of the users on the books.
Optionally, the candidate text includes a reference text in the book associated with the user, and the reference text includes a abstract text and/or a note text in the book;
the third determination submodule includes:
the display sub-module is used for sequentially displaying the reference text according to the catalogue information in the topic candidate books if the reference text of the user in the topic candidate books is not empty;
And the fourth determination submodule is used for determining the selected reference text as a candidate recommended text corresponding to the topic candidate book in response to the selection operation of the user on the reference text.
Optionally, the third determining sub-module further comprises:
the acquisition sub-module is used for acquiring book reference text with text length within a preset length range corresponding to the topic candidate books if the reference text of the user in the topic candidate books is empty;
and a fifth determining sub-module, configured to determine candidate recommended texts of the topic candidate books according to the number of references and the text length of the book reference texts.
Optionally, the fifth determining submodule includes:
a sixth determining submodule, configured to determine a candidate reference text and a display order of the candidate reference text according to the number of times of reference and the text length of the book reference text, and display the candidate reference text according to the display order;
and a seventh determining sub-module, configured to determine, in response to a selection operation of the user on the candidate reference text, the selected candidate reference text as a candidate recommended text of the topic candidate book.
Optionally, the candidate text includes comment text of the user for the book associated with the user;
the third determination submodule includes:
and an eighth determining sub-module, configured to determine a comment text of the topic candidate book by the user as a candidate recommendation text corresponding to the topic candidate book.
Optionally, the topic candidate books are books in a recommendation history dimension corresponding to the user;
the third determination submodule includes:
and a ninth determining submodule, configured to determine a candidate recommended text corresponding to the topic candidate book according to a recommended text when the topic candidate book is recommended in the recommendation history dimension.
Optionally, the book recommendation information corresponding to the target topic includes a target recommended book under the target topic and a target recommended text corresponding to the target recommended book;
the apparatus further comprises:
the second display module is used for displaying the target recommended text corresponding to the target recommended book and the target recommended book in one-to-one association in the book display interface corresponding to the target topic.
Optionally, the target recommended text comprises a plurality of reference texts;
The second display module includes:
the first display sub-module is used for displaying book cards in the book display interface, each target recommended book corresponds to one book card, the book cards comprise a first display area and a second display area, the first display area is used for displaying book information of the target recommended book, the second display area comprises at least one reference text card, one reference text card is displayed in the second display area at the same time, and each reference text card is used for displaying one reference text of the target recommended book;
the apparatus further comprises:
and the switching module is used for responding to the received sliding operation of the reference text card aiming at the target recommended book and switching and displaying the reference text in the target recommended text of the target recommended book according to the sequence indicated by the sliding operation.
Optionally, the book recommendation information corresponding to the target topic includes a target recommended book under the target topic and a target recommended text corresponding to the target recommended book;
the second determining module includes:
a tenth determination sub-module for determining, in response to a selection operation of the user, the topic candidate book selected by the user as the target recommended book;
And the editing sub-module is used for responding to the editing operation of the user on the candidate recommended texts of the target recommended books in the book recommending interface, editing the candidate recommended texts, and determining the texts obtained after the editing process as the target recommended texts of the target recommended books.
Optionally, the book recommendation information corresponding to the target topic includes a target recommendation text corresponding to a target recommendation book under the target topic;
the apparatus further comprises:
the processing module is used for carrying out text processing on the target recommended text corresponding to the target recommended book based on the topic content of the target topic to obtain a processed text after text processing;
and the updating module is used for updating the book recommendation information corresponding to the target topics according to each target recommended book and the processing text corresponding to the target recommended book.
Referring now to fig. 9, a schematic diagram of an electronic device (e.g., a terminal device or server in fig. 1) 600 suitable for use in implementing embodiments of the present disclosure is shown. The terminal devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 9 is merely an example, and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 9, the electronic device 600 may include a processing means (e.g., a central processing unit, a graphic processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
In general, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, magnetic tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 9 shows an electronic device 600 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 609, or from storage means 608, or from ROM 602. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 601.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving triggering operation of a user on a target topic, and determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books; displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface; book recommendation information corresponding to the target topic is determined based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented in software or hardware. The name of the module is not limited to the module itself in some cases, for example, the first determining module may also be described as "a module for receiving a triggering operation of a user on a target topic and determining a topic candidate book corresponding to the target topic and a candidate recommended text corresponding to the topic candidate book in books associated with the user".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, example 1 provides a book recommendation method, wherein the method includes:
receiving triggering operation of a user on a target topic, and determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books;
displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface;
book recommendation information corresponding to the target topic is determined based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.
Example 2 provides the method of example 1, wherein the user-associated book comprises a book in at least one dimension of: bookshelf dimension, browsing history dimension, recommendation history dimension and comment history dimension.
According to one or more embodiments of the present disclosure, example 3 provides the method of example 1, wherein the determining a topic candidate book corresponding to the target topic and a candidate recommended text corresponding to the topic candidate book in the book associated with the user includes:
Matching candidate texts corresponding to the books associated with the users based on the target topics, wherein the candidate texts comprise reference texts in the books associated with the users and comment texts of the users on the books;
and if the matched candidate texts are matched, taking books corresponding to the matched candidate texts as topic candidate books, and determining the matched candidate texts as candidate recommended texts corresponding to the topic candidate books.
According to one or more embodiments of the present disclosure, example 4 provides the method of example 1, wherein the determining a topic candidate book corresponding to the target topic and a candidate recommended text corresponding to the topic candidate book in the book associated with the user includes:
determining topic candidate books corresponding to the target topics from books associated with the users based on topic contents of the target topics;
and determining candidate recommended texts corresponding to the topic candidate books according to the candidate texts corresponding to the topic candidate books, wherein the candidate texts comprise reference texts in books associated with the users and/or comment texts of the users on the books.
Example 5 provides the method of example 4, wherein the candidate text comprises a reference text in the book associated with the user, the reference text comprising a bookmark text and/or a note text in the book, in accordance with one or more embodiments of the present disclosure;
the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book comprises the following steps:
if the reference text of the user in the topic candidate books is not null, displaying the reference text in sequence according to the catalogue information in the topic candidate books;
and responding to the selection operation of the user on the reference text, and determining the selected reference text as a candidate recommended text corresponding to the topic candidate book.
Example 6 provides the method of example 5, wherein the determining candidate recommended text corresponding to the topic candidate book from the candidate text corresponding to the topic candidate book, further comprises:
if the quotation text of the user in the topic candidate books is empty, acquiring book quotation text which corresponds to the topic candidate books and has a text length within a preset length range;
And determining the candidate recommended texts of the topic candidate books according to the quotation times and the text length of the book quotation texts.
Example 7 provides the method of example 6, wherein the determining candidate recommended texts for the topic candidate book according to the number of references and the text length of the book reference text comprises:
determining candidate reference texts and display sequences of the candidate reference texts according to the reference times and the text length of the book reference texts, and displaying the candidate reference texts according to the display sequences;
and responding to the selection operation of the user on the candidate reference text, and determining the selected candidate reference text as the candidate recommended text of the topic candidate book.
Example 8 provides the method of example 4, wherein the candidate text comprises comment text of the user for the book with which the user is associated, in accordance with one or more embodiments of the present disclosure;
the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book comprises the following steps:
and determining comment texts of the users on the topic candidate books as candidate recommended texts corresponding to the topic candidate books.
Example 9 provides the method of example 4, wherein the topic candidate book is a book in a recommendation history dimension corresponding to the user, according to one or more embodiments of the present disclosure;
the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book comprises the following steps:
and determining candidate recommended texts corresponding to the topic candidate books according to recommended texts when the topic candidate books are recommended under the recommendation history dimension.
According to one or more embodiments of the present disclosure, example 10 provides the method of example 1, wherein the book recommendation information corresponding to the target topic includes a target recommended book under the target topic and a target recommended text corresponding to the target recommended book;
the method further comprises the steps of:
and in a book display interface corresponding to the target topic, displaying the target recommended text corresponding to the target recommended book and the target recommended book in one-to-one association.
Example 11 provides the method of example 10, wherein the target recommendation text comprises a plurality of reference text, in accordance with one or more embodiments of the present disclosure;
in the book display interface corresponding to the target topic, displaying the target recommended text corresponding to the target recommended book and the target recommended book in one-to-one association, including:
Displaying book cards in the book display interface, wherein each target recommended book corresponds to one book card, the book cards comprise a first display area and a second display area, the first display area is used for displaying book information of the target recommended book, the second display area comprises at least one reference text card, one reference text card is displayed in the second display area at the same time, and each reference text card is used for displaying one reference text of the target recommended book;
the method further comprises the steps of:
and responding to the received sliding operation of the reference text card aiming at the target recommended books, and switching and displaying the reference text in the target recommended texts of the target recommended books according to the sequence indicated by the sliding operation.
Example 12 provides the method of example 1, wherein the book recommendation information corresponding to the target topic comprises a target recommended book under the target topic and a target recommended text corresponding to the target recommended book, according to one or more embodiments of the present disclosure;
the determining book recommendation information corresponding to the target topic based on the topic candidate books and the candidate recommendation texts corresponding to the topic candidate books includes:
Determining a topic candidate book selected by the user as the target recommended book in response to a selection operation of the user;
and responding to the editing operation of the user on the candidate recommended texts of the target recommended books in the book recommendation interface, editing the candidate recommended texts, and determining the texts obtained after the editing process as target recommended texts of the target recommended books.
Example 13 provides the method of example 1, wherein the book recommendation information corresponding to the target topic comprises target recommendation text corresponding to a target recommended book under the target topic, in accordance with one or more embodiments of the present disclosure;
the method further comprises the steps of:
performing text processing on a target recommended text corresponding to the target recommended book based on the topic content of the target topic to obtain a processed text after text processing;
and updating book recommendation information corresponding to the target topics according to each target recommended book and the processing text corresponding to the target recommended book.
Example 14 provides a book recommendation apparatus according to one or more embodiments of the present disclosure, the apparatus comprising:
the first determining module is used for receiving triggering operation of a user on a target topic, determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books;
The first display module is used for displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface;
the second determining module is used for determining book recommendation information corresponding to the target topic based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.
According to one or more embodiments of the present disclosure, example 15 provides a computer-readable medium having stored thereon a computer program which, when executed by a processing device, implements the steps of the method of any of examples 1-13.
Example 16 provides an electronic device according to one or more embodiments of the present disclosure, comprising:
a storage device having a computer program stored thereon;
processing means for executing the computer program in the storage means to implement the steps of the method of any one of examples 1-13.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims. The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

Claims (16)

1. A book recommendation method, the method comprising:
receiving triggering operation of a user on a target topic, and determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books;
displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface;
book recommendation information corresponding to the target topic is determined based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.
2. The method of claim 1, wherein the user-associated book comprises a book in at least one of the following dimensions: bookshelf dimension, browsing history dimension, recommendation history dimension and comment history dimension.
3. The method of claim 1, wherein the determining a topic candidate book corresponding to the target topic and a candidate recommended text corresponding to the topic candidate book in the book associated with the user comprises:
Matching candidate texts corresponding to the books associated with the users based on the target topics, wherein the candidate texts comprise reference texts in the books associated with the users and comment texts of the users on the books;
and if the matched candidate texts are matched, taking books corresponding to the matched candidate texts as topic candidate books, and determining the matched candidate texts as candidate recommended texts corresponding to the topic candidate books.
4. The method of claim 1, wherein the determining a topic candidate book corresponding to the target topic and a candidate recommended text corresponding to the topic candidate book in the book associated with the user comprises:
determining topic candidate books corresponding to the target topics from books associated with the users based on topic contents of the target topics;
and determining candidate recommended texts corresponding to the topic candidate books according to the candidate texts corresponding to the topic candidate books, wherein the candidate texts comprise reference texts in books associated with the users and/or comment texts of the users on the books.
5. The method of claim 4, wherein the candidate text comprises a reference text in a book associated with the user, the reference text comprising a bookmark text and/or a note text in the book;
the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book comprises the following steps:
if the reference text of the user in the topic candidate books is not null, displaying the reference text in sequence according to the catalogue information in the topic candidate books;
and responding to the selection operation of the user on the reference text, and determining the selected reference text as a candidate recommended text corresponding to the topic candidate book.
6. The method of claim 5, wherein the determining candidate recommended text corresponding to the topic candidate book from the candidate text corresponding to the topic candidate book further comprises:
if the quotation text of the user in the topic candidate books is empty, acquiring book quotation text which corresponds to the topic candidate books and has a text length within a preset length range;
and determining the candidate recommended texts of the topic candidate books according to the quotation times and the text length of the book quotation texts.
7. The method of claim 6, wherein the determining candidate recommended texts for the topic candidate books according to the number of references and the text length of the book reference texts comprises:
determining candidate reference texts and display sequences of the candidate reference texts according to the reference times and the text length of the book reference texts, and displaying the candidate reference texts according to the display sequences;
and responding to the selection operation of the user on the candidate reference text, and determining the selected candidate reference text as the candidate recommended text of the topic candidate book.
8. The method of claim 4, wherein the candidate text comprises comment text of the user for the book with which the user is associated;
the determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book comprises the following steps:
and determining comment texts of the users on the topic candidate books as candidate recommended texts corresponding to the topic candidate books.
9. The method of claim 4, wherein the topic candidate books are books in a recommendation history dimension corresponding to the user;
The determining the candidate recommended text corresponding to the topic candidate book according to the candidate text corresponding to the topic candidate book comprises the following steps:
and determining candidate recommended texts corresponding to the topic candidate books according to recommended texts when the topic candidate books are recommended under the recommendation history dimension.
10. The method of claim 1, wherein the book recommendation information corresponding to the target topic includes a target recommended book under the target topic and a target recommended text corresponding to the target recommended book;
the method further comprises the steps of:
and in a book display interface corresponding to the target topic, displaying the target recommended text corresponding to the target recommended book and the target recommended book in one-to-one association.
11. The method of claim 10, wherein the target recommendation text comprises a plurality of reference texts;
in the book display interface corresponding to the target topic, displaying the target recommended text corresponding to the target recommended book and the target recommended book in one-to-one association, including:
displaying book cards in the book display interface, wherein each target recommended book corresponds to one book card, the book cards comprise a first display area and a second display area, the first display area is used for displaying book information of the target recommended book, the second display area comprises at least one reference text card, one reference text card is displayed in the second display area at the same time, and each reference text card is used for displaying one reference text of the target recommended book;
The method further comprises the steps of:
and responding to the received sliding operation of the reference text card aiming at the target recommended books, and switching and displaying the reference text in the target recommended texts of the target recommended books according to the sequence indicated by the sliding operation.
12. The method of claim 1, wherein the book recommendation information corresponding to the target topic includes a target recommended book under the target topic and a target recommended text corresponding to the target recommended book;
the determining book recommendation information corresponding to the target topic based on the topic candidate books and the candidate recommendation texts corresponding to the topic candidate books includes:
determining a topic candidate book selected by the user as the target recommended book in response to a selection operation of the user;
and responding to the editing operation of the user on the candidate recommended texts of the target recommended books in the book recommendation interface, editing the candidate recommended texts, and determining the texts obtained after the editing process as target recommended texts of the target recommended books.
13. The method of claim 1, wherein the book recommendation information corresponding to the target topic includes target recommendation text corresponding to a target recommended book under the target topic;
The method further comprises the steps of:
performing text processing on a target recommended text corresponding to the target recommended book based on the topic content of the target topic to obtain a processed text after text processing;
and updating book recommendation information corresponding to the target topics according to each target recommended book and the processing text corresponding to the target recommended book.
14. A book recommendation device, the device comprising:
the first determining module is used for receiving triggering operation of a user on a target topic, determining topic candidate books corresponding to the target topic and candidate recommended texts corresponding to the topic candidate books in books associated with the user, wherein the candidate recommended texts are determined based on reference texts of the topic candidate books and/or comment texts of the user on the topic candidate books;
the first display module is used for displaying the topic candidate books and candidate recommendation texts corresponding to the topic candidate books on a book recommendation interface;
the second determining module is used for determining book recommendation information corresponding to the target topic based on the topic candidate books and candidate recommendation texts corresponding to the topic candidate books.
15. A computer readable medium on which a computer program is stored, characterized in that the program, when being executed by a processing device, carries out the steps of the method according to any one of claims 1-13.
16. An electronic device, comprising:
a storage device having a computer program stored thereon;
processing means for executing said computer program in said storage means to carry out the steps of the method according to any one of claims 1-13.
CN202311460565.3A 2023-11-03 2023-11-03 Book recommendation method, device, medium and electronic equipment Pending CN117390284A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311460565.3A CN117390284A (en) 2023-11-03 2023-11-03 Book recommendation method, device, medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311460565.3A CN117390284A (en) 2023-11-03 2023-11-03 Book recommendation method, device, medium and electronic equipment

Publications (1)

Publication Number Publication Date
CN117390284A true CN117390284A (en) 2024-01-12

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Family Applications (1)

Application Number Title Priority Date Filing Date
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Country Status (1)

Country Link
CN (1) CN117390284A (en)

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