Reply method, device, computer equipment and storage medium

Abstract

The present disclosure provides a reply method, apparatus, computer device and storage medium, wherein the method comprises: determining a topic to be replied in a published book recommendation topic; wherein the topic to be replied corresponds to at least one book recommendation feature; determining a target recommended book matching the topic to be replied, and determining book recommendation information of the target recommended book; wherein the book recommendation information contains information matching at least part of the book recommendation features; and generating topic reply information of the topic to be replied based on the target recommended book and the book recommendation information.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular to a reply method, apparatus, computer equipment and storage medium. Background Art

[0002] In existing online reading applications, a user communication function is usually provided, in which users can interact with other users by posting book recommendation topics. However, in the existing related technologies, when there are many book recommendation topics posted by users, the book recommendation topics often cannot be replied in time, resulting in the user who posted the book recommendation topic being unable to obtain relevant information about the book he wants to read, thereby affecting the user's experience of using the online reading application. Summary of the invention

[0003] The embodiments of the present disclosure at least provide a reply method, apparatus, computer device, and storage medium.

[0004] In a first aspect, an embodiment of the present disclosure provides a reply method, which is applied to a server, comprising: determining a topic to be replied to in a published book recommendation topic; wherein the topic to be replied to corresponds to at least one book recommendation feature; determining a target recommended book matching the topic to be replied to, and determining book recommendation information of the target recommended book; wherein the book recommendation information contains information matching at least part of the book recommendation features; and generating topic reply information of the topic to be replied based on the target recommended book and the book recommendation information.

[0005] In an optional implementation, determining the target recommended books that match the topic to be replied to includes: determining multiple book screening features based on the topic content of the topic to be replied to; determining a book recommendation set corresponding to each of the book screening features among multiple candidate recommended books to obtain multiple book recommendation sets; and determining the books that meet the book recommendation requirements in the multiple book recommendation sets as the target recommended books.

[0006] In an optional implementation, the book screening feature includes at least one of the following: gender information of the user who posted the topic to be replied, a book recommendation tag for the topic to be replied, and operation information of books related to the target operation performed by the posting user, wherein the book recommendation tag is used to indicate classification information of books associated with the topic to be replied, and the target operation includes at least one of the following: a reading operation and a comment operation.

[0007] In an optional implementation, determining the book recommendation information of the target recommended book includes: determining a first recommended topic matching the target recommended book in published book recommendation topics; determining a target topic content associated with the target recommended book in the topic content of the first recommended topic; wherein the target topic content includes at least one of the following: topic reply content, topic recommendation content; extracting recommendation keywords associated with the book recommendation features of the topic to be replied to from the target topic content, and generating the book recommendation information based on the recommendation keywords.

[0008] In an optional implementation, determining the target recommended books that match the topic to be replied to includes: extracting book delivery information from the topic content of the topic to be replied to; the book delivery information is used to indicate a target delivery platform for multimedia information of books associated with the topic to be replied to; and determining the target recommended books from the books delivered by the target delivery platform based on the book delivery information.

[0009] In an optional implementation, determining the book recommendation information of the target recommended book includes: obtaining target delivery information of the target recommended book on the target delivery platform, wherein the target delivery information includes: multimedia delivery information of the target recommended book, and / or comment information of the multimedia delivery information; extracting key delivery information matching the book recommendation features of the topic to be replied to from the target delivery information, and determining the book recommendation information of the target recommended book based on the key delivery information.

[0010] In an optional implementation, the method further includes: obtaining at least one preset reply template, and determining a target reply template that matches the topic to be replied to in the at least one preset reply template; generating topic reply information of the topic to be replied based on the target recommended books and the book recommendation information includes: generating topic reply information of the topic to be replied based on the target reply template, the target recommended books and the book recommendation information.

[0011] In an optional implementation, the target reply template includes multiple filling positions; the topic reply information of the topic to be replied is generated based on the target reply template, the target recommended books and the book recommendation information, including: determining the filling content of each of the filling positions based on the topic to be replied, and generating first reply information based on the filling content; generating second reply information based on the target recommended books and the book recommendation information; combining the first reply information and the second reply information to obtain the topic reply information.

[0012] In a second aspect, an embodiment of the present disclosure provides a reply method, applied to a client, comprising: detecting a topic browsing request, and determining a target recommended topic corresponding to the topic browsing request; obtaining the topic content of the target recommended topic; wherein the topic content includes topic recommendation content and topic reply content, and the topic reply content is the topic reply information generated for the target recommended topic by the reply method described in any one of the above-mentioned first aspects; and displaying the topic reply content in the topic reply area of ​​the topic display page.

[0013] In an optional implementation, displaying the topic reply content in the topic display page includes: determining a target recommended book in the topic reply content, and determining a book display identifier of the target recommended book; determining the text content in the topic reply content, and extracting text key information of the text content; displaying the book display identifier in a multimedia display area of ​​the topic reply area, and displaying the text key information in a text display area of ​​the topic reply area.

[0014] In an optional implementation, the method further includes: in response to a triggering operation on the book display identifier, switching to a recommendation details page displaying the target recommended book; wherein the recommendation details page includes: a book reading page of the target recommended book, and / or a delivery page of multimedia delivery information of the target recommended book on a target delivery platform.

[0015] In a third aspect, an embodiment of the present disclosure provides a reply device, comprising: a first determination unit, used to determine a topic to be replied to in a published book recommendation topic; wherein the topic to be replied corresponds to at least one book recommendation feature; a second determination unit, used to determine a target recommended book matching the topic to be replied to, and determine book recommendation information of the target recommended book; wherein the book recommendation information contains information matching at least some of the book recommendation features; a generation unit, used to generate topic reply information of the topic to be replied based on the target recommended book and the book recommendation information.

[0016] In a fourth aspect, an embodiment of the present disclosure provides a reply device, comprising: a detection unit for detecting a topic browsing request; a third determination unit for determining a target recommended topic corresponding to the topic browsing request; an acquisition unit for acquiring the topic content of the target recommended topic; wherein the topic content includes topic recommendation content and topic reply content, and the topic reply content is topic reply information generated for the target recommended topic by the reply method described in any one of the above-mentioned first aspects; and a display unit for displaying the topic reply content in a topic reply area of ​​a topic display page.

[0017] In a fifth aspect, an embodiment of the present disclosure further provides a computer device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the above-mentioned first aspect, or any possible implementation of the first aspect, are performed.

[0018] In a sixth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned first aspect, or any possible implementation of the first aspect are executed.

[0019] In the disclosed embodiment, first, a topic to be replied is determined in the published book recommendation topic, wherein the topic to be replied corresponds to at least one book recommendation feature; then, a target recommended book matching the topic to be replied can be determined, and book recommendation information of the target recommended book can be determined, wherein the book recommendation information includes information matching at least part of the book recommendation features. Then, topic reply information of the topic to be replied can be generated based on the target recommended book and the book recommendation information.

[0020] In the above implementation, by generating topic reply information based on target recommended books and book recommendation information, topic reply information can be automatically generated for the topic to be replied, thereby automatically replying to the topic to be replied, and thus enabling the user to learn about recommended books more quickly. By determining target recommended books and book recommendation information that match the book recommendation features of the topic to be replied, target recommended books that are more consistent with the user's book recommendation intention can be obtained, thereby obtaining topic reply information that is more matched with the topic to be replied, and thus improving the user's reading experience.

[0021] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following is a brief introduction to the drawings required for use in the embodiments. The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used together with the specification to illustrate the technical solutions of the present disclosure. It should be understood that the following drawings only illustrate certain embodiments of the present disclosure and should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can also be obtained based on these drawings without creative work.

[0023] Figure 1A flow chart of a reply method provided by an embodiment of the present disclosure is shown;

[0024] Figure 2 A flowchart showing a specific method for determining a target recommended book matching the topic to be replied to in the reply method provided by the embodiment of the present disclosure;

[0025] Figure 3 A flowchart showing another specific method for determining target recommended books matching the topic to be replied to in the reply method provided by the embodiment of the present disclosure;

[0026] Figure 4 A flowchart showing another reply method provided by an embodiment of the present disclosure is shown;

[0027] Figure 5 A schematic diagram showing the effect of a topic browsing page provided by an embodiment of the present disclosure is shown;

[0028] Figure 6 A schematic diagram showing a first restoring device provided by an embodiment of the present disclosure is shown;

[0029] Figure 7 A schematic diagram showing a second restoring device provided by an embodiment of the present disclosure is shown;

[0030] Figure 8 A schematic diagram of a computer device provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the embodiments of the present disclosure clearer, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the embodiments of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0032] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0033] The term "and / or" herein only describes an association relationship, indicating that three relationships may exist. For example, A and / or B may represent the following three situations: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C may represent including any one or more elements selected from the set consisting of A, B, and C.

[0034] Through research, it is found that in existing online reading applications, a user communication function is usually provided, in which users can interact with other users by posting book recommendation topics. For example, in an "XX novel" application, the application may include a "topic square" function module, in which users can post book-related topics, such as book recommendation topics. Other users can reply to the book-related topics, for example, post relevant book recommendation information in the book recommendation topic, thereby realizing interaction between users.

[0035] However, in the existing related technologies, when there are many book-related topics posted by users, the book-related topics often cannot be replied to in a timely manner, resulting in the users who posted the book-related topics being unable to obtain relevant information about the books they want to read in a timely manner, thereby affecting the user's experience of using the online reading application.

[0036] Based on the above research, the present disclosure provides a reply method, device, computer equipment and storage medium. In the embodiment of the present disclosure, first, a topic to be replied is determined in the published book recommendation topic, wherein the topic to be replied corresponds to at least one book recommendation feature; then, a target recommended book matching the topic to be replied can be determined, and the book recommendation information of the target recommended book can be determined, where the book recommendation information contains information matching at least part of the book recommendation features. Then, the topic reply information of the topic to be replied can be generated based on the target recommended book and the book recommendation information.

[0037] In the above implementation, by generating topic reply information based on target recommended books and book recommendation information, topic reply information can be automatically generated for the topic to be replied, thereby automatically replying to the topic to be replied, so that the user can learn about recommended books more quickly and timely. By determining the target recommended books and book recommendation information that match the book recommendation characteristics of the topic to be replied, the target recommended books that are more in line with the user's book recommendation intention can be obtained, so that the topic reply information that is more matched with the topic to be replied can be obtained, thereby improving the user's reading experience.

[0038] To facilitate understanding of this embodiment, a reply method disclosed in the embodiment of the present disclosure is first introduced in detail. The execution subject of the reply method provided in the embodiment of the present disclosure is generally a computer device with certain computing capabilities, and the computer device includes, for example: a terminal device or a server or other processing device, and the terminal device can be a user equipment (UE), a mobile device, a user terminal, a terminal, etc. In some possible implementations, the reply method can be implemented by a processor calling a computer-readable instruction stored in a memory.

[0039] Embodiment 1

[0040] See also Figure 1 FIG. 1 is a flowchart of a reply method provided by an embodiment of the present disclosure. The reply method is applied to a server. The method includes steps S101 to S105, wherein:

[0041] S101: Determine a topic to be replied to in published book recommendation topics; wherein the topic to be replied to corresponds to at least one book recommendation feature.

[0042] In an embodiment of the present disclosure, the topic to be replied to can be determined in the published book recommendation topics according to a preset screening time, wherein the preset screening time can be one day, one week, or other time, and the present disclosure does not make specific limitations on this.

[0043] Here, the book recommendation feature may include book screening features and book delivery platforms; wherein the book delivery platform is used to indicate the delivery platform of the book's related materials. The related materials may include at least one of the following: various types of materials such as book introduction videos, sample films of the book's exciting plots, and book screen previews; the delivery platform includes at least one of the following: short video platforms, shopping software platforms, video player platforms, and other platforms.

[0044] In an embodiment of the present disclosure, the book screening feature includes at least one of the following: gender information of the user who posted the topic to be replied, a book recommendation tag of the topic to be replied, and operation information of related books of the target operation performed by the posting user, wherein the book recommendation tag is used to indicate the classification information of the books associated with the topic to be replied, and the target operation includes at least one of the following: a reading operation and a comment operation.

[0045] Here, since the book recommendation tag is used to indicate the classification information of the books associated with the topic to be replied, the book recommendation tag can also be used to determine the book search method corresponding to the topic to be replied. For example, the book recommendation tag can be at least one of the following: theme, character, plot, and article form. At this time, the book search method can be understood as: searching for books by theme (for example, looking for super good-looking fictional historical texts), searching for books by characters (for example, "books with super A female protagonists"), searching for books by plot (for example, sweet texts in which the heroine saves the hero), and searching for books by article form (for example, short stories). Among them, the article form is used to indicate the update status of the book (for example, completed, updating), and the length of the book (for example, a novel, or a short story).

[0046] Here, the above book recommendation tags can be determined in the following ways:

[0047] Method 1:

[0048] Each topic to be replied may include a corresponding topic tag. At this time, the book recommendation tag can be determined based on the topic tag. For example, if the topic tag included in the topic to be replied is: Lin Qiye, then the book recommendation tag is "Lin Qiye", that is, looking for books related to "Lin Qiye".

[0049] Method 2:

[0050] Extract the topic key information from the topic content of the topic to be replied, and then determine the book recommendation tag based on the topic key information. For example, if the topic key information is: "Are there any books with super A female protagonists?", then the book recommendation tag can be determined based on the topic key information as: role, that is, find books by role.

[0051] Here, the book screening feature may further include publishing operation information of books related to the target operation performed by the user, for example, publishing operation information of books related to the reading operation performed by the user, publishing operation information of books related to the comment operation performed by the user.

[0052] When the target operation is a reading operation, the operation information may include at least one of the following: continuous reading time, cumulative reading time, total time the book is loaded, total amount of text loaded in the book, total number of times the book is read, frequency of book reading and other information associated with the reading operation.

[0053] When the target operation is a comment operation, the operation information may include at least one of the following: the number of comments, the frequency of comments, the type of comments (e.g., book reviews, chapter reviews, or paragraph reviews), the favorability of the comments, and other information associated with the comment operation.

[0054] S103: Determine a target recommended book that matches the topic to be replied to, and determine book recommendation information of the target recommended book; wherein the book recommendation information includes information that matches at least part of the book recommendation features.

[0055] Here, there may be multiple target recommended books, and corresponding book recommendation information may be determined for each target recommended book; or, the same book recommendation information may be determined for multiple target recommended books. The book recommendation information is used to indicate the recommendation information corresponding to the target recommended book and the book recommendation feature.

[0056] For example, the book recommendation feature is a book recommendation tag: character - the heroine is super handsome, and the target recommended book is "XXX". At this time, the book recommendation information may be information about the heroine being particularly handsome in the target recommended book.

[0057] Here, the book recommendation information of the target recommended book may be determined based on at least one of review information (book review, chapter review or paragraph review) of the target recommended book, book-related topics, and book-related materials.

[0058] S105: Generate topic reply information of the topic to be replied based on the target recommended book and the book recommendation information.

[0059] In an embodiment of the present disclosure, topic reply information of a topic to be replied may be generated according to a preset reply template, and the topic to be replied may be replied through at least one target account.

[0060] Here, the target account may be at least one official account of an online reading application, wherein the preset reply templates corresponding to different official accounts may be different.

[0061] In the disclosed embodiment, by generating topic reply information based on target recommended books and book recommendation information, topic reply information can be automatically generated for the topic to be replied, thereby realizing automatic reply to the topic to be replied, thereby enabling the user to learn about recommended books more quickly. By determining the target recommended books and book recommendation information that match the book recommendation features of the topic to be replied, target recommended books that are more consistent with the user's book recommendation intention can be obtained, thereby obtaining topic reply information that is more matched with the topic to be replied, thereby improving the user's reading experience.

[0062] The above steps will be introduced below in conjunction with specific implementation methods.

[0063] In the disclosed embodiment, first, a topic to be replied may be determined in the published book recommendation topic, wherein the topic to be replied may be a topic in the published book recommendation topic that meets the topic reply requirement.

[0064] Here, you can filter topics to be replied to by the following dimensions: whether they have received replies from other users, whether they are marked as requiring an official reply, whether they have received replies from other users and the replies do not contain substantive content.

[0065] In specific implementation, topics among the published book recommendation topics that have not received replies from other users can be set as topics to be replied to; topics marked by users as requiring official replies can be set as topics to be replied to; topics with a small number of reply messages and for which no books matching the book recommendation topic can be found in the reply content can be set as topics to be replied to; topics that were published within a preset time period (for example, within a week) and have not received replies from other users can be set as topics to be replied to.

[0066] After determining the topic to be replied in the manner described above, at least one book recommendation feature corresponding to the topic to be replied can be determined. In specific implementation, the book screening feature of the topic to be replied and the delivery platform of the book's related materials can be determined to obtain at least one book recommendation feature of the topic to be replied.

[0067] Next, the target recommended books matching the topic to be replied can be determined. The following will introduce how to determine the target recommended books in combination with the following methods.

[0068] Determination method 1:

[0069] In this determination method, if Figure 2 As shown, the above step S103 determines the target recommended books matching the topic to be replied, which specifically includes the following steps:

[0070] Step S201: determining a plurality of book screening features based on the topic content of the topic to be replied;

[0071] Step S202: determining a book recommendation set corresponding to each of the book screening features among multiple candidate recommended books, to obtain multiple book recommendation sets;

[0072] Step S203: determining books that meet the book recommendation requirements in the plurality of book recommendation sets as the target recommended books.

[0073] In the embodiment of the present disclosure, the topic content of the topic to be replied may include at least one of the following: the topic title of the topic to be replied, the original text of the topic to be replied, the topic tag of the topic to be replied, the interactive information of the topic to be replied, and other content associated with the topic to be replied.

[0074] In a specific implementation, the content matching each feature dimension may be extracted from the above topic content, so as to determine the book screening feature under the corresponding feature dimension based on the matching content, wherein the feature dimension includes at least one of the following:

[0075] Gender dimension, where the gender dimension corresponds to "gender information of the user who posted the topic to be replied" in the book screening feature;

[0076] Tag dimension, where the tag dimension corresponds to the "recommended book tags for topics to be replied to" in the book screening feature;

[0077] Interaction dimension, where the interaction dimension corresponds to "publishing operation information of books related to the target operation performed by the user" in the book screening feature.

[0078] For example, with respect to the gender dimension, the gender tag can be extracted from the topic tag of the topic to be replied, so as to determine the gender information of the user who posted the topic to be replied based on the gender tag. For another example, with respect to the tag dimension, the book recommendation tag of the topic to be replied can be determined by the methods described in the above methods 1 and 2. For another example, with respect to the interaction dimension, the operation information of the books related to the target operation performed by the posting user can be extracted from the interaction information of the topic to be replied.

[0079] After determining multiple book screening features in the manner described above, the initial screening books that match each book screening feature can be determined from multiple candidate recommended books, thereby obtaining a book recommendation set, wherein for each book screening feature, a corresponding book recommendation set can be determined, thereby obtaining multiple book recommendation sets.

[0080] In specific implementation, each book screening feature may be matched with the book attribute feature of each candidate recommended book, so that a set of candidate recommended books matching the book screening feature is determined as the book recommendation set corresponding to the book screening feature.

[0081] After determining multiple book recommendation sets, the intersection of the multiple book recommendation sets can be determined, so that the candidate recommended books in the intersection are determined as books that meet the book recommendation requirements, that is, the candidate recommended books in the intersection can be understood as the above-mentioned target recommended books.

[0082] Assume that the multiple book screening features include: feature 1 gender information "female", feature 2 book recommendation tag "character Lin Qiye", and feature 3 operation information "reading operation".

[0083] For feature 1, books related to "female" can be selected from multiple candidate recommended books, thus obtaining book recommendation set 1; then, books related to "character Lin Qiye" can be selected from multiple candidate recommended books, thus obtaining book recommendation set 2; next, books with the top X reading times of the publishing users can be selected from multiple candidate recommended books, thus obtaining book recommendation set 3. Finally, the intersection of book recommendation set 1, book recommendation set 2, and book recommendation set 3 can be determined, thus determining the intersection as the target recommended book that meets the book recommendation requirements.

[0084] In the above implementation, by determining the target recommended books that match the book recommendation features of the topic to be replied to, it is possible to obtain target recommended books that are more in line with the user's book recommendation intention, thereby obtaining topic reply information that is more matched with the topic to be replied to, thereby improving the user's reading experience.

[0085] Determination method 2:

[0086] In this determination method 2, if Figure 3 As shown, the above step S103 determines the target recommended books matching the topic to be replied, which specifically includes the following steps:

[0087] Step S301: extracting book delivery information from the topic content of the topic to be replied; the book delivery information is used to indicate a target delivery platform for multimedia information of books associated with the topic to be replied;

[0088] Step S302: determining the target recommended book from the books delivered by the target delivery platform based on the book delivery information.

[0089] For some books, the relevant materials of the book (for example, book introduction videos, sample clips of the book's exciting plots, book screen previews, etc.) may have been released through other channels, such as short video platforms. In this case, a release association relationship can be established in advance to indicate the relevant materials of the corresponding book and the release platform of the relevant materials through the release association relationship.

[0090] In the disclosed embodiment, the book delivery information of the book that the posting user wants to obtain can be extracted from the topic content of the topic to be replied. Then, the target recommended book can be determined based on the book delivery information and the delivery association relationship.

[0091] In specific implementation, keywords associated with the delivery information can be extracted from the topic content. For example, assuming that the topic content is "emotional books delivered by XXX short video platform", the extracted keywords can be: XXX short video, emotional books. After that, the extracted keywords can be determined as the above-mentioned book delivery information.

[0092] After determining the above-mentioned book delivery information, the delivery platform indicated by the book delivery information, that is, the target delivery platform, such as the XXX short video platform, can be determined; then, among the books published on the XXX short video platform, books matching the "emotional books" in the book delivery information are searched as target recommended books.

[0093] In specific implementation, all books delivered by the target delivery platform can be obtained, and the book attribute characteristics of each book can be obtained, and then the book attribute characteristics are matched with the book delivery information, so as to determine the books matching the book delivery information among all the books as the target recommended books.

[0094] In the above implementation, by determining the method of target recommended books for the publishing user in the target delivery platform, the recommendation method of the target recommended books can be enriched to meet various book recommendation requests of users.

[0095] For the target recommended book determined by the second determination method, the book recommendation information of the target recommended book can be determined by the following method, which specifically includes the following steps:

[0096] Step S11: obtaining target delivery information of the target recommended book on the target delivery platform, wherein the target delivery information includes: multimedia delivery information of the target recommended book, and / or comment information of the multimedia delivery information;

[0097] Step S12: extracting key delivery information matching the book recommendation feature of the topic to be replied to from the target delivery information, and determining the book recommendation information of the target recommended book based on the key delivery information.

[0098] In the disclosed embodiment, after the target recommended book is determined, the target delivery information of the target recommended book on the target delivery platform can be obtained. For example, the target delivery information can be: book introduction video, sample of the book's wonderful plot, book screen preview and other types of multimedia delivery information. In addition, the target delivery information can also be comment information of the multimedia delivery information. For example, for a book introduction video, other network users can add a book review of the target recommended book on the reply page of the video. At this time, the target delivery information can be determined in all the comment information of the book introduction video.

[0099] In specific implementation, target comment information that meets the comment requirements can be extracted from all the comment information of the multimedia delivery information. The comment requirements can be determined based on the following parameters: comment approval rating, number of comment likes, number of comment replies, and other parameters. For example, the comment information with the highest comment approval rating can be determined as the above-mentioned target comment information. After the target comment information is determined, the target comment information can be determined as the comment information of the multimedia information in the target delivery information.

[0100] After determining the target delivery information, key delivery information matching the book recommendation features of the topic to be replied to can be extracted from the target delivery information, thereby generating topic reply information of the topic to be replied to based on the key delivery information, that is, book recommendation information of the target recommended book.

[0101] In an optional implementation, book review keywords matching the book recommendation features may be extracted from the above-determined target review information, and then key delivery information may be determined based on the multimedia delivery information and the book review keywords.

[0102] In another optional embodiment, book review keywords matching the book recommendation features may be extracted from the target review information determined above, and text information matching the book recommendation features may be determined based on the multimedia delivery information, and then key delivery information may be determined based on the text information and the book review keywords.

[0103] In specific implementation, for multimedia delivery information of video or audio type, the audio information of the multimedia delivery information can be converted into initial text, and then the text information matching the book recommendation feature can be determined in the initial text. For multimedia delivery information of picture type, the initial text in the picture can be extracted, and then the text information matching the book recommendation feature can be determined in the initial text.

[0104] In the above implementation, by extracting key delivery information from target delivery information and determining book recommendation information based on the key delivery information, more matching book recommendation information can be determined for the user, thereby improving the user experience.

[0105] For the target recommended books determined by the above determination method 1 and determination method 2, the book recommendation information of the target recommended books can also be determined by the following method, which specifically includes the following steps:

[0106] Step S21: determining a first recommended topic matching the target recommended book from among the published book recommendation topics;

[0107] Step S22: determining target topic content associated with the target recommended book in the topic content of the first recommended topic; wherein the target topic content includes at least one of the following: topic reply content, topic recommendation content;

[0108] Step S23: extracting recommended keywords associated with the book recommendation features of the topic to be replied to from the target topic content, and generating the book recommendation information based on the recommended keywords.

[0109] In the disclosed embodiment, a book recommendation topic matching the target recommended book can be determined from the published book recommendation topics of the online reading application and marked as the first recommended topic. The specific determination process is described as follows:

[0110] Obtain the book attribute features of the target recommended book, such as the book name, the book author, and the book character; then, match the topic content of the published book recommendation topic with the book attribute features of the target recommended book. If the topic content of the published book recommendation topic contains topic content that matches the book attribute features of the target recommended book (for example, contains the same topic content as the book attribute features), then determine that the published book recommendation topic is the first recommended topic.

[0111] After determining the first recommended topic, the topic content of the first recommended topic can be obtained, for example, the topic recommendation content and topic reply content of the first recommended topic can be obtained. The topic recommendation content can be understood as the original topic text of the first recommended topic, and the topic reply information can be understood as the reply information of other network users to the first recommended topic.

[0112] Next, the target topic content associated with the target recommended book can be determined based on the topic content of the first recommended topic. For example, the original topic text of the first recommended topic can be determined to be the target topic content associated with the target recommended book; for another example, the topic reply content of the first recommended topic can be determined to be the target topic content associated with the target recommended book. After that, the book recommendation information of the target recommended book can be determined based on the target topic content.

[0113] In an optional implementation, the target topic content may be directly determined as the book recommendation information of the target recommended book.

[0114] In another optional implementation, recommendation keywords associated with the book recommendation features of the topic to be replied to may be extracted from the target topic content, and then book recommendation information may be generated based on the recommendation keywords.

[0115] In specific implementation, the target topic content can be segmented to obtain at least one initial segmentation, and then the association between each initial segmentation and the book recommendation feature can be calculated; then, the initial segmentation whose association meets the requirements is determined as the recommended keyword, thereby obtaining the book recommendation information of the target recommended book.

[0116] Here, for the target recommended book determined by the second determination method, a first recommended topic matching the target recommended book can be determined in the published book recommendation topics of the online reading application, and the book recommendation information of the target recommended book can be determined in the same manner as described above.

[0117] In the above implementation manner, through the above processing method, topic reply information can be automatically generated for the topic to be replied, so as to realize automatic reply to the topic to be replied, thereby enabling the user to obtain recommended books more quickly.

[0118] In an optional implementation, the method provided in the embodiment of the present disclosure further includes the following steps:

[0119] Step S104: obtaining at least one preset reply template, and determining a target reply template matching the topic to be replied to from the at least one preset reply template;

[0120] Step S105: generating topic reply information of the topic to be replied based on the target recommended book and the book recommendation information, including the following steps:

[0121] Step S1051: Generate topic reply information of the topic to be replied based on the target reply template, the target recommended books and the book recommendation information.

[0122] In an embodiment of the present disclosure, a target account for replying to the topic to be replied to can be first determined, and then a preset reply template matching the target account can be determined from at least one preset reply template, wherein the preset reply templates corresponding to different target accounts can contain different template contents.

[0123] In an optional implementation, the matched preset reply template may be determined as the target reply template.

[0124] In another optional implementation, the book attribute feature of the topic to be replied can also be obtained, and then the preset reply template matching the book attribute feature of the topic to be replied is determined as the target reply template in the matching preset reply templates. For example, if the book attribute feature is: young women, then the preset reply template matching young women can be determined as the target reply template in the matching preset reply templates.

[0125] After determining the target reply template, the topic reply information of the topic to be replied can be generated by combining the target reply template, the target recommended books and the book recommendation information. The generation process of the topic reply information is determined by combining the following generation methods.

[0126] Generation method 1:

[0127] In this generation method, the target reply template does not contain fill positions.

[0128] At this time, the target reply template, the target recommended books and the book recommendation information may be arranged and combined in a preset order, and then the combined information may be determined as the topic reply information.

[0129] For example, the reply message to this topic can be in the following form:

[0130] Target reply template: Are you out of books? Hurry up and accept the beautiful girl's recommendation of fine products~;

[0131] Target recommended books: "XXX", "YYY";

[0132] Book recommendation information: book recommendation information of "XXX", book recommendation information of "YYY".

[0133] Generation method 2:

[0134] In this generation method, the target reply template contains multiple fill-in locations.

[0135] Based on this, the above steps generate the topic reply information of the topic to be replied based on the target reply template, the target recommended books and the book recommendation information, and specifically include the following steps:

[0136] First, based on the topic to be replied, the filling content of each filling position is determined, and the first reply information is generated based on the filling content;

[0137] Afterwards, generating second reply information based on the target recommended book and the book recommendation information;

[0138] Next, the first reply information and the second reply information are combined to obtain the topic reply information.

[0139] In the embodiment of the present disclosure, if the target reply template includes a filling position, the filling content of each filling position can be determined based on the topic to be replied, wherein the filling content corresponding to the filling position is the content associated with the topic to be replied. For example, the target reply template can be a template in the following form:

[0140] Hello, Miss "XXX", the books related to your favorite "YYY character" have been found for you by "MMM", please accept the excellent recommendation from "NNN"~.

[0141] Here, "XXX" is used to indicate the user nickname of the publishing user, "YYY role" is used to indicate the role in the book recommendation tag, "MMM" can be the book name of the target recommended book, and "NNN" can be the account nickname of the target account.

[0142] After the filling content of each filling position is determined, the filling content can be added to the corresponding filling position to obtain the first reply information. For example, the first reply information can be:

[0143] Hello, Miss XXX, M has found the books related to Lin Qiye that you like. Please accept Xiaoqie's recommendation.

[0144] Next, the second reply information can be generated based on the target recommended books and the book recommendation information. For example, the target recommended books and the book recommendation information can be combined to obtain the second reply information. After that, the first reply information and the second reply information can be combined to obtain the topic reply information. For example, the first reply information and the second reply information can be combined in the manner described in the above generation method 1 to obtain the topic reply information.

[0145] In the above implementation, by determining a target reply template that matches the topic to be replied to and generating topic reply information based on the target reply template, topic reply information can be personalized for the user, thereby further improving the user experience.

[0146] Embodiment 2

[0147] See also Figure 4 FIG. 4 is a flowchart of another reply method applied to a client provided in an embodiment of the present disclosure, wherein the method includes steps S401 to S405, wherein:

[0148] Step S401: Detect a topic browsing request and determine a target recommended topic corresponding to the topic browsing request.

[0149] Step S403: Acquire the topic content of the target recommended topic; wherein the topic content includes topic recommendation content and topic reply content, and the topic reply content is topic reply information generated for the target recommended topic by the reply method described in any one of the embodiments.

[0150] Step S405: Display the topic reply content in the topic reply area of ​​the topic display page.

[0151] Here, after it is detected that the user opens the client corresponding to the online reading application, if a topic browsing request of the user is detected, the target recommended topic corresponding to the topic browsing request can be determined.

[0152] After determining the target recommended topic, the client can send a request to obtain the topic content of the target recommended topic to the server. After obtaining the acquisition request, the server can search the topic content of the target recommended topic in the database.

[0153] Here, the topic content of the target recommended topic may include the original topic text (i.e., the topic recommended content) and the topic reply content, wherein the topic reply content may at least include the topic reply information generated for the target recommended topic by the method described in the above embodiment 1. The topic reply information may be the reply of the target account to the target recommended topic.

[0154] In the disclosed embodiment, by generating topic reply information based on target recommended books and book recommendation information, topic reply information can be automatically generated for the topic to be replied, thereby realizing automatic reply to the topic to be replied, thereby enabling the user to learn about recommended books more quickly. By determining the target recommended books and book recommendation information that match the book recommendation features of the topic to be replied, target recommended books that are more consistent with the user's book recommendation intention can be obtained, thereby obtaining topic reply information that is more matched with the topic to be replied, thereby improving the user's reading experience.

[0155] In an optional implementation, the above step S405: displaying the topic reply content in the topic display page specifically includes the following steps:

[0156] Step S4051: determining a target recommended book in the topic reply content, and determining a book display identifier of the target recommended book;

[0157] Step S4052: determining the text content in the topic reply content, and extracting text key information of the text content;

[0158] Step S4053: displaying the book display logo in the multimedia display area of ​​the topic reply area, and displaying the text key information in the text display area of ​​the topic reply area.

[0159] In the disclosed embodiment, after the topic content of the target recommended topic is obtained, the target recommended book can be determined in the topic reply content of the topic content, and the book display mark of the target recommended book can be determined, wherein the book display mark can be a thumbnail of the promotional poster of the target recommended book, or a thumbnail of the book cover of the target recommended book, or other marks of the target recommended book, for example, a jump link of the multimedia delivery information of the target recommended book, or a jump link of the book reading page of the target recommended book. Afterwards, the text content in the topic reply content can also be determined, and the text key information of the text content can be extracted.

[0160] Next, if Figure 5 As shown, the book display logo can be displayed in the multimedia display area of ​​the topic reply area in the topic browsing page, and the text key information can be displayed in the text display area of ​​the topic reply area.

[0161] Here, if the book recommendation information includes multimedia delivery information of the target recommended book, the multimedia delivery information can also be displayed in the multimedia display area. For example, information such as a video playback window and an audio playback window can be displayed.

[0162] In an optional implementation, the method provided in the embodiment of the present disclosure further includes the following steps:

[0163] In response to the triggering operation of the book display mark, switch to the recommendation details page displaying the target recommended book; wherein the recommendation details page includes: the book reading page of the target recommended book, and / or, the delivery page of the multimedia delivery information of the target recommended book on the target delivery platform.

[0164] In an embodiment of the present disclosure, after detecting a user's triggering operation on a book display mark, it is possible to jump to a recommendation details page displaying a target recommended book, such as a book reading page of the target recommended book, and / or a delivery page of multimedia delivery information of the target recommended book on a target delivery platform.

[0165] In the above implementation, by setting a book display mark that can be triggered for the user, connectivity with other functional modules of the target recommended book can be achieved, for example, connectivity with the reading module and connectivity with the delivery platform, so that the user can quickly obtain other relevant information of the target recommended book through the connectivity, such as the book reading page and the delivery page.

[0166] Those skilled in the art will appreciate that, in the above method of specific implementation, the order in which the steps are written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0167] Embodiment three:

[0168] Based on the same inventive concept, a reply device corresponding to the reply method is also provided in the embodiment of the present disclosure. Since the principle of solving the problem by the device in the embodiment of the present disclosure is similar to the above-mentioned reply method in the embodiment of the present disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0169] Reference Figure 6 , which is a schematic diagram of a reply device provided by an embodiment of the present disclosure, the device comprises: a first determination unit 61, a second determination unit 62, and a generation unit 63; wherein,

[0170] A first determining unit is used to determine a topic to be replied to in the published book recommendation topics; wherein the topic to be replied to corresponds to at least one book recommendation feature;

[0171] A second determining unit is used to determine a target recommended book that matches the topic to be replied to, and determine book recommendation information of the target recommended book; wherein the book recommendation information includes information that matches at least part of the book recommendation features;

[0172] A generating unit is used to generate topic reply information of the topic to be replied based on the target recommended book and the book recommendation information.

[0173] In a possible implementation, the second determination unit is further used to: determine multiple book screening features based on the topic content of the topic to be replied to; determine a book recommendation set corresponding to each of the book screening features among multiple candidate recommended books to obtain multiple book recommendation sets; and determine the books that meet the book recommendation requirements in the multiple book recommendation sets as the target recommended books.

[0174] In a possible implementation, the book screening feature includes at least one of the following: gender information of the user who posted the topic to be replied, a book recommendation tag of the topic to be replied, and operation information of related books of the target operation performed by the posting user, wherein the book recommendation tag is used to indicate classification information of books associated with the topic to be replied, and the target operation includes at least one of the following: a reading operation and a comment operation.

[0175] In a possible implementation, the second determination unit is further used to: determine a first recommended topic matching the target recommended book in the published book recommendation topics; determine a target topic content associated with the target recommended book in the topic content of the first recommended topic; wherein the target topic content includes at least one of the following: topic reply content, topic recommendation content; extract recommendation keywords associated with the book recommendation features of the topic to be replied to from the target topic content, and generate the book recommendation information based on the recommendation keywords.

[0176] In a possible implementation, the second determination unit is further used to: extract book delivery information from the topic content of the topic to be replied; the book delivery information is used to indicate a target delivery platform for multimedia information of books associated with the topic to be replied; and determine the target recommended book from the books delivered by the target delivery platform based on the book delivery information.

[0177] In a possible implementation, the second determination unit is further used to: obtain target delivery information of the target recommended book on the target delivery platform, wherein the target delivery information includes: multimedia delivery information of the target recommended book, and / or comment information of the multimedia delivery information; extract key delivery information matching the book recommendation feature of the topic to be replied from the target delivery information, and determine the book recommendation information of the target recommended book based on the key delivery information.

[0178] In a possible implementation, the device is also used to: obtain at least one preset reply template, and determine a target reply template that matches the topic to be replied to in the at least one preset reply template; the generation unit is also used to: generate topic reply information of the topic to be replied based on the target reply template, the target recommended book and the book recommendation information.

[0179] In a possible implementation, the generation unit is further used for: when the target reply template includes multiple filling positions; determining the filling content of each filling position based on the topic to be replied, and generating a first reply message based on the filling content; generating a second reply message based on the target recommended book and the book recommendation information; and combining the first reply information and the second reply information to obtain the topic reply information.

[0180] Embodiment 4:

[0181] Reference Figure 7 , which is a schematic diagram of a reply device provided by an embodiment of the present disclosure, the device comprises: a detection unit 71, a third determination unit 72, an acquisition unit 73, and a display unit 74; wherein,

[0182] A detection unit 71, used to detect a topic browsing request;

[0183] A third determining unit 72 is used to determine a target recommended topic corresponding to the topic browsing request;

[0184] An acquisition unit 73 is used to acquire the topic content of the target recommended topic; wherein the topic content includes topic recommendation content and topic reply content, and the topic reply content is topic reply information generated for the target recommended topic by the reply method described in any one of the above-mentioned embodiments 1;

[0185] The display unit 74 is used to display the topic reply content in the topic reply area of ​​the topic display page.

[0186] In a possible implementation, the display unit is used to: determine the target recommended book in the topic reply content, and determine the book display mark of the target recommended book; determine the text content in the topic reply content, and extract text key information of the text content; display the book display mark in the multimedia display area of ​​the topic reply area, and display the text key information in the text display area of ​​the topic reply area.

[0187] In a possible implementation, the device is also used to: in response to a triggering operation on the book display identifier, switch to a recommendation details page displaying the target recommended book; wherein the recommendation details page includes: a book reading page of the target recommended book, and / or a delivery page of multimedia delivery information of the target recommended book on a target delivery platform.

[0188] For descriptions of the processing flow of each unit in the device and the interaction flow between each unit, reference may be made to the relevant descriptions in the above method embodiments, which will not be described in detail here.

[0189] Embodiment 5

[0190] Corresponds to Figure 1 The embodiment of the present disclosure also provides a computer device 800, such as Figure 8 FIG. 8 is a schematic diagram of a computer device 800 provided in an embodiment of the present disclosure, including:

[0191] Processor 81, memory 82, and bus 83; memory 82 is used to store execution instructions, including internal memory 821 and external memory 822; the internal memory 821 is also called internal memory, which is used to temporarily store the operation data in the processor 81 and the data exchanged with the external memory 822 such as a hard disk. The processor 81 exchanges data with the external memory 822 through the internal memory 821. When the computer device 800 is running, the processor 81 communicates with the memory 82 through the bus 83, so that the processor 81 executes the following instructions:

[0192] Determine a topic to be replied to in the published book recommendation topics; wherein the topic to be replied to corresponds to at least one book recommendation feature;

[0193] Determine a target recommended book that matches the topic to be replied, and determine book recommendation information of the target recommended book; wherein the book recommendation information includes information that matches at least part of the book recommendation features;

[0194] Topic reply information of the topic to be replied is generated based on the target recommended book and the book recommendation information.

[0195] In addition, the processor 81 also executes the following instructions:

[0196] Detecting a topic browsing request and determining a target recommended topic corresponding to the topic browsing request;

[0197] Acquire the topic content of the target recommended topic; wherein the topic content includes topic recommendation content and topic reply content, and the topic reply content is topic reply information generated for the target recommended topic by the reply method described in any one of the above-mentioned embodiments 1;

[0198] The topic reply content is displayed in the topic reply area of ​​the topic display page.

[0199] The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the recovery method described in the above method embodiment are executed. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0200] The present disclosure also provides a computer program product that carries a program code. The program code includes instructions that can be used to execute the steps of the reply method described in the above method embodiment. For details, please refer to the above method embodiment, which will not be repeated here.

[0201] The computer program product may be implemented in hardware, software or a combination thereof. In one optional embodiment, the computer program product is implemented as a computer storage medium. In another optional embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0202] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0203] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0204] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0205] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0206] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A reply method, characterized in that: Applicable to servers, including: Determine a topic to be replied from the published book recommendation topics; wherein the topic to be replied corresponds to at least one book recommendation feature; Determine a target recommended book that matches the topic to be replied, and determine book recommendation information of the target recommended book; wherein the book recommendation information includes information that matches at least part of the book recommendation features; Topic reply information of the topic to be replied is automatically generated based on the target recommended book and the book recommendation information.

2. The method according to claim 1, characterized in that The step of determining target recommended books that match the topic to be replied to includes: Determining a plurality of book screening features based on the topic content of the topic to be replied; Determine a book recommendation set corresponding to each of the book screening features among multiple candidate recommended books to obtain multiple book recommendation sets; Books that meet the book recommendation requirements in the plurality of book recommendation sets are determined as the target recommended books.

3. The method according to claim 2, characterized in that The book screening feature includes at least one of the following: gender information of the user who posted the topic to be replied, a book recommendation tag of the topic to be replied, and operation information of related books of the target operation performed by the posting user, wherein the book recommendation tag is used to indicate the classification information of books associated with the topic to be replied, and the target operation includes at least one of the following: a reading operation and a comment operation.

4. The method according to claim 1, characterized in that: The determining of the book recommendation information of the target recommended book includes: Determining a first recommended topic matching the target recommended book from among the published book recommendation topics; Determining target topic content associated with the target recommended book in the topic content of the first recommended topic; wherein the target topic content includes at least one of the following: topic reply content, topic recommendation content; Recommendation keywords associated with the book recommendation features of the topic to be replied to are extracted from the target topic content, and the book recommendation information is generated based on the recommendation keywords.

5. The method according to claim 1, characterized in that The step of determining target recommended books that match the topic to be replied to includes: Extracting book delivery information from the topic content of the topic to be replied; the book delivery information is used to indicate a target delivery platform for multimedia information of books associated with the topic to be replied; The target recommended book is determined from the books delivered by the target delivery platform based on the book delivery information.

6. The method according to claim 5, characterized in that The determining of the book recommendation information of the target recommended book includes: Acquire target delivery information of the target recommended book on the target delivery platform, wherein the target delivery information includes: multimedia delivery information of the target recommended book, and / or comment information of the multimedia delivery information; Key delivery information matching the book recommendation feature of the topic to be replied to is extracted from the target delivery information, and book recommendation information of the target recommended book is determined based on the key delivery information.

7. The method according to claim 1, characterized in that The method further comprises: Acquire at least one preset reply template, and determine a target reply template matching the topic to be replied from the at least one preset reply template; The generating the topic reply information of the topic to be replied based on the target recommended books and the book recommendation information includes: generating the topic reply information of the topic to be replied based on the target reply template, the target recommended books and the book recommendation information.

8. The method according to claim 7, characterized in that The target reply template includes a plurality of filling positions; the topic reply information of the topic to be replied is generated based on the target reply template, the target recommended book and the book recommendation information, including: Determine the filling content of each of the filling positions based on the topic to be replied, and generate first reply information based on the filling content; generating second reply information based on the target recommended book and the book recommendation information; The first reply information and the second reply information are combined to obtain the topic reply information.

9. A reply method, characterized in that: Applied to the client, including: Detecting a topic browsing request and determining a target recommended topic corresponding to the topic browsing request; Acquire the topic content of the target recommended topic; wherein the topic content includes topic recommendation content and topic reply content, and the topic reply content is the topic reply information automatically generated for the target recommended topic by the reply method described in any one of claims 1 to 8 above; The topic reply content is displayed in the topic reply area of ​​the topic display page.

10. The method according to claim 9, characterized in that The displaying of the topic reply content in the topic display page includes: Determining a target recommended book in the topic reply content, and determining a book display mark of the target recommended book; Determine the text content in the topic reply content, and extract text key information of the text content; The book display logo is displayed in the multimedia display area of ​​the topic reply area, and the text key information is displayed in the text display area of ​​the topic reply area.

11. The method according to claim 10, characterized in that The method further comprises: In response to the triggering operation of the book display mark, switch to the recommendation details page displaying the target recommended book; wherein the recommendation details page includes: the book reading page of the target recommended book, and / or, the delivery page of the multimedia delivery information of the target recommended book on the target delivery platform.

12. A recovery device, characterized in that: include: A first determining unit is used to determine a topic to be replied to in the published book recommendation topics; wherein the topic to be replied to corresponds to at least one book recommendation feature; A second determining unit is used to determine a target recommended book that matches the topic to be replied to, and determine book recommendation information of the target recommended book; wherein the book recommendation information includes information that matches at least part of the book recommendation features; A generating unit is used to automatically generate topic reply information of the topic to be replied based on the target recommended book and the book recommendation information.

13. A recovery device, characterized in that: include: A detection unit, used for detecting a topic browsing request; A third determining unit, configured to determine a target recommended topic corresponding to the topic browsing request; An acquisition unit, configured to acquire the topic content of the target recommended topic; wherein the topic content includes topic recommendation content and topic reply content, and the topic reply content is topic reply information generated for the target recommended topic by the reply method described in any one of claims 1 to 8; The display unit is used to display the topic reply content in the topic reply area of ​​the topic display page.

14. A computer device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the reply method as described in any one of claims 1 to 11 are performed.

15. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the reply method as claimed in any one of claims 1 to 11 are executed.

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