CN114969438A

CN114969438A - Video-based book recommendation method, computing device and storage medium

Info

Publication number: CN114969438A
Application number: CN202210618731.7A
Authority: CN
Inventors: 屈晓航; 景浩
Original assignee: Beijing Dejian Technology Co ltd
Current assignee: Beijing Dejian Technology Co ltd
Priority date: 2022-06-01
Filing date: 2022-06-01
Publication date: 2022-08-30

Abstract

The invention discloses a video-based book recommendation method, a computing device and a storage medium. The method comprises the following steps: receiving the access operation of a user to a video channel page, and displaying the video channel page; presenting any recommended video and at least one recommended book associated with the recommended video on a video channel page; and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when receiving the switching operation of the user in the video channel page. Through the method, the video channels are integrated in the electronic book platform, the recommended videos are played through the video channels, the recommended books related to the recommended videos are presented at the same time, the effect of recommending the books through the videos is achieved, and compared with a text book recommending mode, the display of the videos on the information is more visual and can attract the attention of a user, so that the user can conveniently screen interesting books, and the book clicking conversion rate can be improved.

Description

Video-based book recommendation method, computing device and storage medium

Technical Field

The invention relates to the technical field of internet, in particular to a video-based book recommendation method, a computing device and a storage medium.

Background

At present, as mobile terminal devices such as smart phones and electronic reading devices are continuously developed and popularized, electronic books are more and more favored by reading users due to convenience. Book resources are massive, and in order to facilitate a user to select a book suitable for the user, a book reading platform generally recommends the book for the user. In the prior art, book recommendation is mainly realized through recommendation information in a text form, but the text recommendation information needs to be read carefully by a user, and the text form is not intuitive enough in information transmission, so that the user is not convenient to quickly screen interesting books, and the book pushing effect is not ideal.

Disclosure of Invention

In view of the above, the present invention has been made to provide a video-based book recommendation method, a computing device and a storage medium that overcome or at least partially solve the above problems.

According to an aspect of the present invention, there is provided a video-based book recommendation method, including:

receiving the access operation of a user to a video channel page, and displaying the video channel page; presenting any recommended video and at least one recommended book associated with the recommended video on a video channel page; and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when receiving the switching operation of the user in the video channel page.

According to yet another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;

the memory is configured to store at least one executable instruction that causes the processor to:

According to yet another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

According to the video-based book recommendation method, the computing device and the storage medium, the access operation of a user to a video channel page is received, and the video channel page is displayed; presenting any recommended video and at least one recommended book associated with the recommended video on a video channel page; and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when a switching operation of the user in the video channel page is received. Through the method, the video channels are integrated in the electronic book platform, each recommended video is played through the video channels, and the recommended books related to the recommended videos are presented at the same time, compared with a text book recommendation mode, the display of the videos on the information is more visual, the attention of the user can be attracted, and if the user is interested in the played videos, the user is likely to be interested in the recommended books related to the videos, and then the recommended books are searched and checked, so that the effect of recommending the books through the videos is achieved, the user is convenient to screen the interested books, and the book click conversion rate can be improved.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

fig. 1 is a flowchart illustrating a video-based book recommendation method according to an embodiment of the present invention;

FIG. 2a is a schematic diagram illustrating a video channel page provided by another embodiment of the present invention;

FIG. 2b is a schematic diagram illustrating a video channel page provided by another embodiment of the present invention;

FIG. 2c is a schematic diagram illustrating a video channel page provided by another embodiment of the present invention;

fig. 3 is a flowchart illustrating a video-based book recommendation method according to another embodiment of the present invention;

fig. 4 is a schematic structural diagram of a computing device provided in an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Fig. 1 is a flowchart illustrating a video-based book recommendation method according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:

step S110, receiving an access operation of a user to a video channel page, and displaying the video channel page.

The video channel refers to a channel in an electronic book APP or an electronic book reader, and the video channel page is used for playing recommended videos for a user. The electronic book APP or the electronic book reader generally includes a bookshelf channel, a book city channel, a user channel, and the like, in the manner of this embodiment, a video channel is added, and the video channel may be an independent channel, parallel to the above channels, or a sub-channel below the book city channel, which is not limited in this invention.

The access operation to the video channel page is used to open the video channel page, for example, the user clicks on the video channel TAB in the bottom navigation bar, which is identified as the access operation to the video channel page.

Step S120, any recommended video and at least one recommended book associated with the recommended video are presented on a video channel page. And switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when receiving the switching operation of the user in the video channel page.

For each candidate video, at least one book related to the candidate video is found in advance, an association relationship between the candidate video and the books is established, and at least one recommended book related to the candidate video is the book having the association relationship with the candidate video. For example, if the similarity between the classification label of the candidate video and the classification label of the book is calculated to be high, the association relationship between the two is established, and if the candidate video deduces the content plot of the original book, the association relationship between the two is established.

And screening a plurality of recommended videos aiming at the user from the candidate videos, playing each recommended video in a video channel page, and presenting at least one recommended book having an association relation with the recommended video in the process of playing any recommended video. Specifically, basic information such as book covers, author names, book blurbs and the like of at least one recommended book having an association relationship with the recommended video is presented.

And only one recommended video can be played in the video channel page, when the switching operation of the user in the video channel page is received, the next recommended video is switched to be played, and at least one recommended book associated with the next recommended video is presented. And when a pause instruction is monitored, the recommended video is paused to be played, and the pause instruction can be triggered by pause operation of the user, channel switching operation of the user, trigger operation of the user on other elements, and pulling out or disconnecting of the earphone.

Fig. 2a is a schematic diagram of a video channel page according to another embodiment of the present invention, as shown in fig. 2a, a recommended video is displayed in a vertical screen in an area 211, and meanwhile, recommended books associated with the recommended video, such as recommended books displayed in an area 212, are displayed, and a user may also view more recommended books through a sliding operation, for example, each recommended book may be displayed in a transparent layer overlaid on the recommended video.

According to the video-based book recommendation method provided by the embodiment, the access operation of a user to a video channel page is received, and the video channel page is displayed; presenting any recommended video and at least one recommended book associated with the recommended video on a video channel page; and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when receiving the switching operation of the user in the video channel page. Through the method, the video channels are integrated in the electronic book platform, each recommended video is played through the video channels, and the recommended books related to the recommended videos are presented at the same time, compared with a text book recommendation mode, the display of the videos on the information is more visual, the attention of the user can be attracted, and if the user is interested in the played videos, the user is likely to be interested in the recommended books related to the videos, and then the recommended books are searched and checked, so that the effect of recommending the books through the videos is achieved, the user is convenient to screen the interested books, and the book click conversion rate can be improved.

Fig. 3 is a flowchart illustrating a video-based book recommendation method according to another embodiment of the present invention, and as shown in fig. 3, the method includes the following steps:

step S310, for any candidate video, at least one recommended book associated with the candidate video is determined according to the configuration information of the candidate video.

The candidate video can be made and uploaded by a platform registered user or a platform operator, specifically, the video data is uploaded through a candidate video uploading page and the configuration information of the video is filled, the page comprises a video uploading entry and filling entries of various information, the user uploads the video through the video uploading entry, and the configuration information of the candidate video, including video name, video introduction, classification tag, original book information, extended book information and the like, is filled through the filling entries of the information. And various pieces of configuration information can be presented to the user as identification information of the candidate videos. For example, the book in which the deduced story content of the candidate video is located is the original book of the candidate video, and the extended book may be a strongly related book of the original book, such as other books of the series to which the original book belongs, other books of the author of the original book, and so on. The way for the user to fill out the classification tag may be: inputting a text through a filling inlet of the classification label, associating a label closest to the input text from the existing book label library by a background, displaying the label, and clicking a proper classification label by a user; the original book information, the extended book information and the classification labels configured here are all used for determining the recommended books associated with the candidate videos in the subsequent process.

After receiving the uploaded candidate video and the configuration information thereof, carrying out verification processing, including mandatory item verification, namely verifying whether the mandatory item is completely filled, and reminding if the unfilled mandatory item exists, wherein the mandatory item comprises: video name, video introduction and classification label, original book information and extended book information are optional items. In addition, security check can be performed, such as checking whether the content of the candidate video is illegal.

Optionally, whenever a new candidate video is online, performing online reminding of the new video, for example, displaying a preset identifier at an access entrance of a video channel page, so as to inform a user that the new candidate video is online, so as to improve the access rate of the video channel page; or, a new video online prompt is pushed to the user to prompt the user that a new video is online, so that the opening rate of the APP is improved.

If the configuration information of the candidate video includes original book information (such as an original book ID or a book name) and/or extended book information (such as an extended book ID or a book name), determining a recommended video associated with the candidate video by: inquiring a book library according to the original book information of the candidate video, and determining at least one book obtained by inquiry as at least one first recommended book associated with the candidate video; and/or querying a book library according to the extended book information of the candidate video, and determining at least one queried book as at least one second recommended book associated with the candidate video. And establishing the association relation between each book and the candidate video, wherein the book having the association relation with the candidate video is the recommended book associated with the candidate video. In the method, original book information and/or extended book information of the candidate video are configured in advance, and the recommended books associated with the candidate video can be determined by directly querying the book library, so that the efficiency of matching the video and the books can be improved, and the matching degree of the video and the recommended books can be improved.

If the configuration information of the candidate video comprises the classification label, determining a recommended video associated with the candidate video by the following method: and obtaining at least one algorithm recommended book by adopting a preset recommendation algorithm according to the classification label of the candidate video, and determining the at least one algorithm recommended book as at least one third recommended book associated with the candidate video. In the method, based on the classification labels of the candidate videos and the classification labels of the books, a plurality of algorithm recommended books are obtained through calculation by a recommendation algorithm, and the algorithm recommended books are used as a third recommended video associated with the candidate videos, wherein the similarity between the classification labels of the third recommended books associated with the candidate videos and the classification labels of the candidate videos is higher than a preset threshold. In the method, the recommended books related to the candidate videos are determined through the recommendation algorithm, the recommended books related to the candidate videos can be increased, and a larger screening range is provided for the user.

In addition, after each recommended book associated with the candidate video is determined in the above manner, books included in the book clustering result may also be used as recommended books associated with the candidate video by performing book clustering on each recommended book.

In an alternative mode, the display priorities of different types of recommended books associated with the candidate videos are different, the display priorities represent the correlation between the candidate videos and the recommended books, the display priority of a first recommended book (a book queried according to original book information) is higher than the display priority of a second recommended book (a book queried according to extended book information), the display priority of the second recommended book is higher than the display priority of a third recommended book (an algorithm recommended book), and when the recommended books associated with the recommended videos are presented, the arrangement order or the display order of the recommended books is determined according to the display priority order of the recommended books.

In an alternative embodiment, if any of the candidate videos includes an audio clip of a voiced book, original book information of the candidate video is configured according to book information of the voiced book, and classification tags of the candidate videos are configured according to classification tags of the voiced book. In this way, related personnel are supported to make candidate videos based on audio books in a library, audio clips of the audio books can be obtained in a screen recording manner, the candidate videos can be made according to image-text mixed and cut contents, screen scrolling contents and audio clips of the audio books, can also be made according to image-text mixed and cut contents and audio clips of the audio books, and the manner of making the candidate videos based on the audio clips of the audio books includes but is not limited to the above manner. In this case, the original book information of the candidate video is the book information of the audio book, and the other related configuration information of the candidate video may directly use the description information of the audio book.

In another alternative, the candidate videos are further divided into a general video and a single-book video, the general video refers to a candidate video capable of being associated with a plurality of recommended books, the single-book video refers to a candidate video capable of being associated with only one recommended book, and only the recommended book with the highest display priority can be associated with the single-book video, that is, the single recommended video is only used for recommending the recommended book with the highest relevance.

And step S320, receiving the access operation of the user to the video channel page, and selecting at least one recommended video for the user from each candidate video.

After receiving an access operation of a user to a video channel page, firstly screening a plurality of recommended videos from a candidate video pool aiming at the user, and specifically screening at least one recommended video from each candidate video according to the score of at least one evaluation dimension of each candidate video. Further, candidate videos distributed to the user are filtered out, and repeated recommendation to the user is avoided.

Wherein the at least one evaluation dimension comprises at least one of the following dimensions: a distribution time dimension, a classification preference dimension, a video effect dimension, an import time dimension, and a book consumption dimension. Regarding the distribution time dimension, the scoring factor is the latest distribution timestamp, if the candidate video is not distributed, the latest distribution timestamp is 0, and the candidate video with the smaller latest distribution timestamp (that is, the latest distribution is less distant from the current time) is preferentially distributed, so that the score of the dimension is smaller when the latest distribution timestamp is larger, and conversely, the score of the dimension is larger when the latest distribution timestamp is smaller. Regarding the classification preference dimension, the scoring factor includes a classification label of the candidate video and a classification label of the user preference, and specifically, the score of the classification preference dimension of the candidate video is obtained according to the matching degree between the classification label of the candidate video and the classification label of the user preference, for example, the candidate video has two classification labels dc1 and dc2, the matching degree with the classification label of the user preference is dc1_ value and dc2_ value, respectively, the score of the dimension is dc1_ value + dc1_ value, and candidate videos with higher scores of the classification preference dimension are preferentially distributed. Regarding the video effect dimension, the scoring factors of the video effect dimension comprise the complete reading rate and the book click conversion rate of the video effect dimension, for example, the product of the complete reading rate and the book click conversion rate is calculated to obtain the score of the dimension, and candidate videos with higher scores of the video effect dimension are preferentially distributed; regarding the import time dimension, the scoring factor refers to the time when the candidate video is successfully imported into the platform video library, and preferentially distributes the candidate video with earlier import time, that is, the longer the interval between the import time of the candidate video and the current time is, the higher the score of the import time dimension of the candidate video is; and for the book consumption dimension, the score of the dimension is used for evaluating the putting effect on the third-party platform, and the candidate video with the higher score of the book consumption dimension is preferentially distributed according to the click rate, the downloading amount and the like of the recommended book associated with the candidate video in the third-party platform.

If the recommended video is screened according to the scores of the multiple evaluation dimensions, obtaining the total score of the candidate video according to the scores of the multiple evaluation dimensions of the candidate video; and screening at least one recommended video from each candidate video according to the total score of each candidate video. Optionally, summing the scores of multiple evaluation dimensions of the candidate video to obtain a total score of the candidate video; or calculating a weighted sum according to preset weight values of all evaluation dimensions and scores of multiple evaluation dimensions of the candidate video to obtain a total score of the candidate video. In the screening aspect, a plurality of candidate videos with total scores higher than a score threshold value can be screened as recommended videos, or sorting can be performed according to the total scores of the candidate videos, so that candidate videos at the top N bits are screened as recommended videos, and N is an integer greater than 1. Through the mode, the scores of the candidate videos are determined from the multiple evaluation dimensions, then the scores of all the dimensions are summarized to obtain the total score, the recommended videos are screened according to the total score, and the rationality of screening the recommended videos is guaranteed.

In an optional mode, based on the total scores of the candidate videos, the recommended videos are classified and screened, and in each candidate video under each classification, the candidate videos with the total scores at the top M bits are screened out to serve as the recommended videos, where M is an integer greater than 1. For example, the candidate videos with 20 top total scores are screened from the candidate videos under the hallucinations classification, the ancient speech classification, the modern speech classification and the novel classification respectively to serve as the recommended videos.

In an optional mode, different distribution strategies are adopted for different types of users, and in the mode, the types of the users need to be analyzed firstly, and then recommended videos are selected according to the corresponding distribution strategies. And if the user is a naturally newly added user, screening at least one recommended video aiming at the user from the candidate videos of which the scores of the book consumption dimensions reach the preset values. The naturally newly added user is a user who autonomously downloads the APP and does not drain the APP through promotion content, for the naturally newly added user, because the preference of the naturally newly added user is not obtained temporarily, a high-quality video is preferentially distributed to the naturally newly added user, at least one recommended video for the user is screened out from each candidate video with the score of the book consumption dimension reaching the preset value, for example, the candidate video with the consumption reaching the preset value within two weeks is preferentially screened out from the naturally newly added user as the recommended video, and therefore the user retention is facilitated to be improved. If the user is a releasing user (equivalent to an old user of the platform), the user can recall according to user preference, multi-factor sorting is adopted, namely the total scores of the candidate videos are determined based on multiple evaluation dimensions, and recommended videos are sorted and screened according to the total scores of the candidate videos. In the method, the recommended videos are screened according to the types of the users, and the matching degree of the screened recommended videos and the requirements of the users is guaranteed.

Step S330, displaying a video channel page, and presenting any recommended video, at least one recommended book associated with the recommended video, and at least one function entry corresponding to the at least one recommended book on the video channel page.

And switching to the next recommended video, at least one recommended book associated with the next recommended video and the corresponding function entry for presentation whenever switching operation of the user in the video channel page is received.

In an alternative mode, after receiving an access operation of a user to a video channel page, automatically playing a recommended video arranged at the first position in each recommended video and presenting a recommended book and a corresponding function entry associated with the recommended video in the video channel page, and then switching presentation contents (including the recommended video and the recommended book and the function entry thereof) each time a switching operation of the user is received.

In another optional mode, after receiving an access operation of a user to a video channel page, firstly presenting a recommended video list containing each recommended video, responding to a preset trigger operation of any recommended video in the recommended video list, playing the recommended video, presenting each recommended book associated with the recommended video and a corresponding function entry; after that, every time a switching operation by the user is received, switching of the presentation contents (including the recommended video and the recommended book thereof and the function entry) is performed.

The recommended videos have an arrangement order, for example, the recommended videos are ordered according to the order of the total score from high to low, and the recommended videos are played in sequence in a video channel page. The switching operation for switching the recommended video may be a sliding operation in a specific direction, for example, a user's up-sliding touch operation is used to switch to a next recommended video of the currently played recommended video, and a user's down-sliding touch operation is used to switch to a previous recommended video of the currently played recommended video.

In addition, when the user accesses the video channel page for the first time or the time length from the last time of accessing the video channel page exceeds a preset value or the user accesses the video channel page each time, the switching mode of the recommended video is reminded, the user is prompted what operation is performed to switch the recommended video, and the user experience can be improved.

Specifically, basic information such as book covers, author names, book profiles and the like of each recommended book associated with the recommended video is presented. Further, for a first recommended book (i.e. a book queried according to the original book information) associated with the recommended video, original identification information is also displayed to indicate to the user that the recommended book is an original book corresponding to the video.

In an optional mode, in the process of presenting the recommended video, if it is detected that the playing progress of the recommended video reaches a preset threshold, popping up a reading function entry corresponding to a target recommended book associated with the recommended video; and receiving a third preset trigger operation of the user on the reading function entrance, and skipping to display the reading page of the target recommended book associated with the recommended video. In the method, when the playing progress of the recommended video reaches a preset value, which indicates that a user is interested in the recommended video, a reading function entry of a target recommended book of the recommended video is popped up, for example, a book cover is popped up above a progress bar of the recommended video, the book cover area contains the reading function entry, and when the user clicks the book cover, the user can jump to a reading page of the target recommended book. By the mode, when the reading entrance of the target recommended book pops up again when the user is interested is determined, the recommendation strength of the target recommended book can be increased, and compared with a continuous popping mode, the mode of popping up again when the user is interested can avoid disturbance to the user.

The target recommended book associated with the recommended video is a recommended book with the highest display priority in at least one recommended book associated with the target recommended book, the display priority of the recommended book indicates the correlation degree with the recommended video, and then the recommended book with the highest display priority is the recommended book with the highest correlation degree with the recommended video.

Step S340, receiving a first trigger operation for any function entry of any recommended book of the user, and executing corresponding processing of the function entry on the recommended book.

Wherein the at least one functional inlet is at least one of: a purchasing function entrance, a bookshelves function entrance and a reading function entrance; the purchase function entry is used for jumping to a book purchase page of the corresponding recommended book, the bookshelf adding function entry is used for adding the corresponding recommended book into the bookshelf, and the reading function entry is used for jumping to a reading page of the corresponding recommended book. Wherein, the first trigger operation of the function entrance can be a click operation or a long-time press operation.

That is, if the user clicks the purchase function entry of any recommended book, jumping to the purchase page of the recommended book, so that the user can purchase the recommended book; if the clicking operation of the user on the bookrack adding function inlet of any recommended book is received, adding the recommended book into the bookrack of the user; and if the user clicks the reading function entry of any recommended book, jumping to the reading page of the recommended book, and if the user has the reading record of the recommended book, jumping to the reading page of the latest recorded reading position. Through the mode, when a user is interested in recommended books by watching videos, the user can directly interact with the books through the functional entrance, the user does not need to quit a video channel page and then search for the books, convenience is provided for the user, and the click conversion rate of the user of the books can be further improved.

In addition, if the recommended book is the book purchased by the user, the purchase function entry is not presented for the recommended book, but prompt information is presented for informing the user that the recommended book is purchased; if the recommended book is the bookshelf book of the user, the bookshelves function entrance is not presented for the recommended book, and prompt information is presented to inform the user that the recommended book is already bookshelves.

In an optional manner, the video channel page is further configured to present an extended recommendation entry, and presenting at least one recommended book associated with the recommended video on the video channel page specifically includes: dividing at least one recommended book associated with the recommended video into a first recommended book group and a second recommended book group according to the display priority order of each recommended book associated with the recommended video; presenting at least one recommended book contained in the first recommended book group; and receiving a second preset trigger operation of the user on the extension recommendation entrance, and presenting at least one recommended book contained in the second recommended book group.

In the method, each recommended book is divided into two groups according to the display priority order of each recommended book associated with the recommended video, each recommended book in the first group is presented first, and each recommended book in the second group is presented when the user triggers the extended recommended entry. Optionally, at least one recommended book with the highest display priority in at least one recommended book associated with the recommended books is classified into a first recommended book group, and other recommended books are classified into a second recommended book group. Optionally, at least one recommended book with the lowest presentation priority in the at least one recommended book associated with the recommended books is classified into the second recommended book group, and the other recommended books are classified into the first recommended book group. Through the method, all recommended books are presented to the user in batches, the problem that the video content is shielded due to the fact that all recommended books are presented once can be avoided, a progressive recommendation method based on the relevancy between the videos and the books can be achieved, and the recommendation effect can be improved.

Fig. 2b is a schematic diagram of a video channel page provided by another embodiment of the present invention, and fig. 2c is a schematic diagram of a video channel page provided by another embodiment of the present invention, as shown, a recommended video is displayed in a vertical screen in a region 221, a recommended book and various function entries associated with the recommended video are presented below the page, a cover picture and a native logo are presented in a region 222, book description information (including book title, author, and brief introduction) is presented in a region 223, a purchase function entry control is presented in a region 224, a bookshelves function entry control is presented in a region 225, a reading function entry control is presented in a region 226, an extended recommended entry is presented in a region 227, and a document "click to view more" is used to represent the extended recommended entry. The video channel page further comprises a progress bar 228, in the normal playing process, the progress bar moves normally, the user can also adjust the video playing progress by dragging the progress bar, a progress frame is displayed above the progress bar and used for displaying the playing progress time and the duration of the whole video, and when the dragging operation of the user is stopped, the recommended video is relocated to the position before the progress bar is dragged for playing. When the user clicks the extended recommendation entrance, other recommended books of the recommended video are presented, and if a book list popup window containing other recommended books is popped up from bottom to top, the user can slide and check in the book list popup window. As shown in fig. 2c, when the user clicks the extended recommendation entry, in addition to the related content of the first recommended book displayed in the area 231, a book list of other recommended books including the second recommended book and the third recommended book is displayed in the area 232, and these books are identified as related recommendations by the file "related recommendations" to distinguish them from the first recommended book.

In another embodiment of the present invention, the way of pushing the book by the video can also be used to exit the interception scene, specifically: receiving the operation of a user for exiting the reading mode, displaying an exiting interception page, and presenting any recommended video on the exiting interception page; and receiving a fourth preset trigger operation of the user in the exit interception page, and skipping to display a reading page of any recommended book associated with the recommended video. The method comprises the steps that when a user quits reading, a quit interception page pops up, and is usually used for prompting the user whether to quit, in the mode, video book pushing is carried out in the quit interception page, a recommended video is played in the quit interception page, and the user clicks or presses for a long time in the quit interception page to jump to a reading page of any recommended book associated with the recommended video, for example, to a reading page of the recommended book associated with the recommended video and having the highest display priority. The recommended videos in the exit interception scene may be recommended videos related to the current book, which are filtered from various recommended videos for the user. By the aid of the mode, video book pushing in the interception scene is achieved.

In another embodiment of the present invention, the video book pushing mode may also be used in an inter-leaf recommendation scenario, and inter-leaf recommendation refers to inserting recommended content into a book as a whole page, specifically: receiving an access operation of a user to a preset recommendation insert page of a book, displaying the preset recommendation insert page, and presenting any recommendation video in the preset recommendation insert page; and receiving a fifth preset trigger operation of the user in a preset recommendation insert page, and skipping to display a reading page of any recommended book associated with the recommendation video. The method includes the steps that the insert page promotion content is displayed in a reading mode, for example, the insert page advertisement is inserted when reading time reaches a certain threshold value or the insert page advertisement is inserted when a specified reading page is read, in the method, the insert page promotion content is replaced by a recommended video for a user, the user clicks in the insert page recommended page or presses the recommended page for a long time, and jumps to a reading page of any recommended book associated with the recommended video, and through the method, video book pushing in an insert page recommended scene is achieved.

According to the video-based book recommendation method provided by the embodiment, on one hand, relevant users are supported to make and upload candidate videos by themselves, and relevant information of the candidate videos is configured, so that a video library can be enriched, and the video making cost is reduced; in another aspect, at least one recommended book associated with the candidate video is determined according to configuration information of the candidate video, so as to determine at least one recommended book carried by the candidate video, where the configuration information further includes: the method comprises the following steps of configuring original book information, extended book information and/or classification labels, and determining three recommended books with inconsistent display priority orders associated with candidate videos through the three configurations; on the other hand, a special channel page is provided for video book pushing, when a user accesses the video channel page, at least one recommended video for the user is screened from the candidate video pool, the recommended video is played in the video channel page, at least one recommended book and a function entry related to the recommended video are presented, presented content is switched along with switching operation of the user, video-based book recommendation is achieved, an interaction entry is provided, the user can interact with the recommended book on the video channel page, user operation is facilitated, and recommendation effect can be improved; on the other hand, the total score of the candidate video is determined according to the scores of multiple dimensions of the candidate video, the recommended video is screened based on the total score, the quality of the screened recommended video is guaranteed, the recommended video is further screened in combination with the user type of the user, and therefore the recommended video which is most suitable for the user can be screened out; on the other hand, in the process of playing the recommended video, if the playing progress of the recommended video reaches a preset value, a reading function entry of the recommended book with the highest display priority related to the recommended video is popped up, through the method, the recommendation strength of the recommended book with the highest display priority is increased, and the recommended book is popped up again when the user is detected to be interested in the recommended video, so that the recommendation accuracy can be improved; on the other hand, according to the display priority order of each recommended book associated with the recommended video, each recommended book is divided into a first recommended book group and a second recommended book group, each recommended book in the first group is displayed first, and each recommended book in the second group is displayed when the user triggers the extended recommendation entry; on the other hand, the embodiment also provides a video book pushing implementation mode in the interception quitting scene and the insert page promotion scene.

An embodiment of the present invention provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the computer executable instruction may execute the video-based book recommendation method in any of the above method embodiments.

The executable instructions may be specifically configured to cause the processor to:

receiving the access operation of a user to a video channel page, and displaying the video channel page;

presenting any recommended video and at least one recommended book associated with the recommended video on a video channel page;

and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when a switching operation of the user in the video channel page is received.

In an alternative, the video channel page is further configured to present at least one function entry corresponding to at least one recommended book associated with the recommended video, and the executable instructions cause the processor to:

receiving a first preset trigger operation of any function entry of any recommended book of a user, and executing corresponding processing of the function entry on the recommended book.

In an alternative, the at least one functional inlet comprises at least one of: a purchasing function entrance, a bookshelves function entrance and a reading function entrance; the purchase function entry is used for jumping to a book purchase page of the corresponding recommended book, the bookshelf adding function entry is used for adding the corresponding recommended book into the bookshelf, and the reading function entry is used for jumping to a reading page of the corresponding recommended book.

In an alternative, the video channel page is further for presenting an extended recommendation entry, the executable instructions causing the processor to:

dividing at least one recommended book associated with the recommended video into a first recommended book group and a second recommended book group according to the display priority order of each recommended book associated with the recommended video;

presenting at least one recommended book contained in the first recommended book group;

and receiving a second preset trigger operation of the user on the extension recommendation entrance, and presenting at least one recommended book contained in the second recommended book group.

In an alternative, the executable instructions cause the processor to:

in the process of playing the recommended video, if the fact that the playing progress of the recommended video reaches a preset threshold value is detected, popping up a reading function entry corresponding to a target recommended book associated with the recommended video;

and receiving a third preset trigger operation of the user on the reading function entrance, and skipping to display the reading page of the target recommended book associated with the recommended video.

In an optional mode, the target recommended book associated with the recommended video is a recommended book with the highest display priority in at least one recommended book associated with the recommended video.

In an alternative, the executable instructions cause the processor to:

for any candidate video, determining at least one recommended book associated with the candidate video according to the configuration information of the candidate video.

In an alternative manner, the configuration information of the candidate video includes: original book information and/or extended book information, the executable instructions causing the processor to:

inquiring a book library according to the original book information of the candidate video, and determining at least one book obtained by inquiry as at least one first recommended book associated with the candidate video; and/or the presence of a gas in the gas,

and querying a book library according to the extended book information of the candidate video, and determining at least one queried book as at least one second recommended book associated with the candidate video.

In an alternative manner, the configuration information of the candidate video includes: a class tag, the executable instructions causing the processor to: and obtaining at least one algorithm recommended book by adopting a preset recommendation algorithm according to the classification label of the candidate video, and determining the at least one algorithm recommended book as at least one third recommended book associated with the candidate video.

In an alternative mode, the display priority of the first recommended book is higher than that of the second recommended book, and the display priority of the second recommended book is higher than that of the third recommended book.

In an alternative, the executable instructions cause the processor to:

and if any candidate video comprises the audio clip of the audio book, configuring original book information of the candidate video according to the book information of the audio book, and configuring the classification label of the candidate video according to the classification label of the audio book.

In an alternative, the executable instructions cause the processor to:

receiving the operation of a user for exiting the reading mode, displaying an exiting interception page, and presenting any recommended video on the exiting interception page;

and receiving a fourth preset trigger operation of the user in the exit interception page, and skipping to display a reading page of any recommended book associated with the recommended video.

In an alternative, the executable instructions cause the processor to:

receiving an access operation of a user to a preset recommendation insert page of a book, displaying the preset recommendation insert page, and presenting any recommendation video in the preset recommendation insert page;

and receiving a fifth preset trigger operation of the user in a preset recommendation insert page, and skipping to display a reading page of any recommended book associated with the recommendation video.

In an alternative, the executable instructions cause the processor to:

and after receiving the access operation of the user on the video channel page, screening at least one recommended video from each candidate video according to the score of at least one evaluation dimension of each candidate video.

In an alternative, the executable instructions cause the processor to:

and selecting at least one recommended video for the user from each candidate video according to the user type of the user and the grade of at least one evaluation dimension of each candidate video.

In an alternative approach, the at least one evaluation dimension includes at least one of the following dimensions: a distribution time dimension, a classification preference dimension, a video effect dimension, an import time dimension, and a book consumption dimension.

Through the method, the video channels are integrated in the electronic book platform, each recommended video is played through the video channels, and the recommended books related to the recommended videos are presented at the same time, compared with a text book recommendation mode, the display of the videos on the information is more visual, the attention of the user can be attracted, if the user is interested in the played videos, the user is likely to be interested in the recommended books related to the videos, and then the recommended books are collected, purchased or checked, so that the effect of recommending the books through the videos is achieved, the user is convenient to screen the interested books, and the book click conversion rate can be improved.

Fig. 4 is a schematic structural diagram of an embodiment of a computing device according to the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.

As shown in fig. 4, the computing device may include: a processor (processor)402, a Communications Interface 404, a memory 406, and a Communications bus 408.

Wherein: the processor 402, communication interface 404, and memory 406 communicate with each other via a communication bus 408. A communication interface 404 for communicating with network elements of other devices, such as clients or other servers. The processor 402 is configured to execute the program 410, and may specifically execute the relevant steps in the above-described video-based book recommendation method embodiment for a computing device.

In particular, program 410 may include program code comprising computer operating instructions.

The processor 402 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

And a memory 406 for storing a program 410. Memory 406 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 410 may specifically be configured to cause the processor 402 to perform the following operations:

and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when receiving the switching operation of the user in the video channel page.

In an alternative, the video channel page is further configured to present at least one function entry corresponding to at least one recommended book associated with the recommended video, and the program 410 causes the processor 402 to: receiving a first preset trigger operation of any function entry of any recommended book of a user, and executing corresponding processing of the function entry on the recommended book.

In an alternative, the at least one function portal comprises at least one of: a purchasing function entrance, a bookshelves function entrance and a reading function entrance; the purchase function entry is used for jumping to a book purchase page of the corresponding recommended book, the bookshelf adding function entry is used for adding the corresponding recommended book into the bookshelf, and the reading function entry is used for jumping to a reading page of the corresponding recommended book.

In an alternative, where the video channel page is also used to present an extended recommendation entry, the program 410 causes the processor 402 to: dividing at least one recommended book associated with the recommended video into a first recommended book group and a second recommended book group according to the display priority order of each recommended book associated with the recommended video;

In an alternative, the program 410 causes the processor 402 to:

In an alternative manner, the configuration information of the candidate video includes: original book information and/or extended book information, the program 410 causes the processor 402 to:

In an alternative manner, the configuration information of the candidate video includes: a class tag, the executable instructions to cause the processor to: and obtaining at least one algorithm recommended book by adopting a preset recommendation algorithm according to the classification label of the candidate video, and determining the at least one algorithm recommended book as at least one third recommended book associated with the candidate video.

In an alternative, the program 410 causes the processor 402 to:

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.

The invention discloses: A1. a video-based book recommendation method includes:

receiving the access operation of a user to a video channel page, and displaying the video channel page; presenting any recommended video and at least one recommended book associated with the recommended video on the video channel page; and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when receiving the switching operation of the user in the video channel page.

A2. The method according to A1, wherein the video channel page is further used for presenting at least one functional entry corresponding to at least one recommended book associated with the recommended video; the method further comprises: receiving a first preset trigger operation of any function entry of any recommended book of a user, and executing corresponding processing of the function entry on the recommended book.

A3. The method of a2, wherein the at least one functional portal includes at least one of: a purchasing function entrance, a bookshelves function entrance and a reading function entrance; the book purchasing function entry is used for jumping to a book purchasing page of the corresponding recommended book, the bookshelf adding function entry is used for adding the corresponding recommended book into the bookshelf, and the reading function entry is used for jumping to a reading page of the corresponding recommended book.

A4. The method of a1, wherein the video channel page is further used for presenting an extended recommendation entry, and presenting at least one recommended book associated with the recommended video on the video channel page further comprises: dividing at least one recommended book associated with the recommended video into a first recommended book group and a second recommended book group according to the display priority order of each recommended book associated with the recommended video; presenting at least one recommended book contained in the first recommended book group; and receiving a second preset trigger operation of the user on the extension recommendation entrance, and presenting at least one recommended book contained in the second recommended book group.

A5. The method of a1, wherein presenting at least one recommended book associated with the recommended video on the video channel page further comprises: in the process of playing the recommended video, if the fact that the playing progress of the recommended video reaches a preset threshold value is detected, popping up a reading function entry corresponding to a target recommended book associated with the recommended video; and receiving a third preset trigger operation of the user on the reading function entrance, and skipping to display a reading page of a target recommended book associated with the recommended video.

A6. The method according to a5, wherein the target recommended book associated with the recommended video is a recommended book with the highest display priority in at least one recommended book associated with the recommended video.

A7. The method of a1, wherein before the method performs, further comprising: for any candidate video, determining at least one recommended book associated with the candidate video according to the configuration information of the candidate video.

A8. The method according to a7, wherein the configuration information of the candidate video includes: determining at least one recommended book associated with the candidate video according to the configuration information of the candidate video further includes: inquiring a book library according to the original book information of the candidate video, and determining at least one book obtained by inquiry as at least one first recommended book associated with the candidate video; and/or querying a book library according to the extended book information of the candidate video, and determining at least one queried book as at least one second recommended book associated with the candidate video.

A9. The method of A8, wherein the configuration information of the candidate video includes: the step of classifying labels, wherein the step of determining at least one recommended book associated with the candidate video according to the configuration information of the candidate video comprises the following steps: and obtaining at least one algorithm recommended book by adopting a preset recommendation algorithm according to the classification label of the candidate video, and determining the at least one algorithm recommended book as at least one third recommended book associated with the candidate video.

A10. The method of A9, wherein the first recommended book has a higher presentation priority than the second recommended book, and the second recommended book has a higher presentation priority than the third recommended book.

A11. The method of a9, wherein the method further comprises: if any candidate video comprises audio clips of the audio books, original book information of the candidate video is configured according to the book information of the audio books, and classification tags of the candidate video are configured according to the classification tags of the audio books.

A12. The method of any one of a1-a11, wherein the method further comprises: receiving an operation of a user for exiting a reading mode, displaying an exiting interception page, and presenting any recommended video on the exiting interception page; and receiving a fourth preset trigger operation of the user in the exit interception page, and skipping to display a reading page of any recommended book associated with the recommended video.

A13. The method of any one of a1-a11, wherein the method further comprises: receiving an access operation of a user to a preset recommendation insert page of a book, displaying the preset recommendation insert page, and presenting any recommendation video in the preset recommendation insert page; and receiving a fifth preset trigger operation of the user in the preset recommendation insert page, and skipping to display the reading page of any recommended book associated with the recommended video.

A14. The method of any of a1-a11, wherein, after the receiving a user access operation to a video channel page, the method further comprises: and screening at least one recommended video from each candidate video according to the score of at least one evaluation dimension of each candidate video.

A15. The method of a14, wherein the screening at least one recommended video from the candidate videos according to the score of at least one evaluation dimension of any candidate video further comprises: and selecting at least one recommended video for the user from each candidate video according to the user type of the user and the grade of at least one evaluation dimension of each candidate video.

A16. The method of a15, wherein the at least one evaluation dimension includes at least one of the following dimensions: a distribution time dimension, a classification preference dimension, a video effect dimension, an import time dimension, and a book consumption dimension.

B17. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is configured to store at least one executable instruction that causes the processor to: receiving the access operation of a user to a video channel page, and displaying the video channel page;

presenting any recommended video and at least one recommended book associated with the recommended video on the video channel page; and switching to the next recommended video and at least one recommended book associated with the next recommended video for presentation when receiving the switching operation of the user in the video channel page.

B18. The computing device of B17, wherein the video channel page is further configured to present at least one functional entry corresponding to at least one recommended book associated with the recommended video; the executable instructions cause the processor to perform the following operations: receiving a first preset trigger operation of any function entry of any recommended book of a user, and executing corresponding processing of the function entry on the recommended book.

B19. The computing device of B18, wherein the at least one function portal includes at least one of: purchasing a function entrance, a bookrack function entrance and a reading function entrance; the book purchasing function entry is used for jumping to a book purchasing page of the corresponding recommended book, the bookshelf adding function entry is used for adding the corresponding recommended book into the bookshelf, and the reading function entry is used for jumping to a reading page of the corresponding recommended book.

B20. The computing device of B17, wherein the video channel page is further to present an extended recommendation entry, the executable instructions to cause the processor to: dividing at least one recommended book associated with the recommended video into a first recommended book group and a second recommended book group according to the display priority order of each recommended book associated with the recommended video; presenting at least one recommended book contained in the first recommended book group; and receiving a second preset trigger operation of the user on the extension recommendation entrance, and presenting at least one recommended book contained in the second recommended book group.

B21. The computing device of B17, wherein the executable instructions cause the processor to: in the process of playing the recommended video, if the fact that the playing progress of the recommended video reaches a preset threshold value is detected, popping up a reading function entry corresponding to a target recommended book associated with the recommended video; and receiving a third preset trigger operation of the user on the reading function inlet, and skipping to display a reading page of a target recommended book associated with the recommended video.

B22. The computing device of B21, wherein the target recommended book associated with the recommended video is a recommended book with the highest presentation priority among at least one recommended book associated with the recommended video.

B23. The computing device of B17, wherein the executable instructions cause the processor to: for any candidate video, at least one recommended book associated with the candidate video is determined according to the configuration information of the candidate video.

B24. The computing device of B23, wherein the configuration information of the candidate video includes: original book information and/or extended book information, the executable instructions causing the processor to: inquiring a book library according to the original book information of the candidate video, and determining at least one inquired book as at least one first recommended book associated with the candidate video; and/or querying a book library according to the extended book information of the candidate video, and determining at least one queried book as at least one second recommended book associated with the candidate video.

B25. The computing device of B24, wherein the configuration information of the candidate video includes: a classification tag, the executable instructions to cause the processor to: and obtaining at least one algorithm recommended book by adopting a preset recommendation algorithm according to the classification label of the candidate video, and determining the at least one algorithm recommended book as at least one third recommended book associated with the candidate video.

B26. The computing device of B25, wherein the first recommended book has a presentation priority higher than a presentation priority of the second recommended book, which is higher than a presentation priority of the third recommended book.

B27. The computing device of B25, wherein the executable instructions cause the processor to: if any candidate video comprises the audio frequency fragment of the audio book, the original book information of the candidate video is configured according to the book information of the audio book, and the classification label of the candidate video is configured according to the classification label of the audio book.

B28. The computing device of any one of B17-B27, wherein the executable instructions cause the processor to: receiving an operation of a user for exiting a reading mode, displaying an exit interception page, and presenting any recommended video on the exit interception page; and receiving a fourth preset trigger operation of the user in the exit interception page, and skipping to display a reading page of any recommended book associated with the recommended video.

B29. The computing device of any one of B17-B27, wherein the executable instructions cause the processor to: receiving an access operation of a user to a preset recommendation insert page of a book, displaying the preset recommendation insert page, and presenting any recommendation video in the preset recommendation insert page; and receiving a fifth preset trigger operation of the user in the preset recommendation insert page, and skipping to display the reading page of any recommended book associated with the recommended video.

B30. The computing device of any one of B17-B27, wherein the executable instructions cause the processor to: and after receiving the access operation of the user on the video channel page, screening at least one recommended video from each candidate video according to the score of at least one evaluation dimension of each candidate video.

B31. The computing device of B30, wherein the executable instructions cause the processor to: and selecting at least one recommended video for the user from each candidate video according to the user type of the user and the grade of at least one evaluation dimension of each candidate video.

B32. The computing device of B31, wherein the at least one evaluation dimension includes at least one of: a distribution time dimension, a classification preference dimension, a video effect dimension, an import time dimension, and a book consumption dimension.

C33. A computer storage medium having stored therein at least one executable instruction causing a processor to perform operations corresponding to the video-based book recommendation method of any one of a1-a 16.

Claims

1. A video-based book recommendation method, comprising:

presenting any recommended video and at least one recommended book associated with the recommended video on the video channel page;

2. The method of claim 1, wherein the video channel page is further configured to present at least one functional entry corresponding to at least one recommended book associated with the recommended video;

the method further comprises: receiving a first preset trigger operation of any function entry of any recommended book of a user, and executing corresponding processing of the function entry on the recommended book.

3. The method of claim 2, wherein the at least one functional portal comprises at least one of: a purchasing function entrance, a bookshelves function entrance and a reading function entrance; the book purchasing function entry is used for jumping to a book purchasing page of the corresponding recommended book, the bookshelf adding function entry is used for adding the corresponding recommended book into the bookshelf, and the reading function entry is used for jumping to a reading page of the corresponding recommended book.

4. The method of claim 1, wherein the video channel page is further for presenting an extended recommendation entry, presenting at least one recommended book associated with the recommended video on the video channel page further comprises:

5. The method of claim 1, wherein presenting at least one recommended book associated with the recommended video on the video channel page further comprises:

and receiving a third preset trigger operation of the user on the reading function entrance, and skipping to display a reading page of a target recommended book associated with the recommended video.

6. The method of claim 5, wherein the target recommended book associated with the recommended video is a recommended book with the highest presentation priority among at least one recommended book associated with the recommended video.

7. The method of claim 1, wherein prior to performing the method, further comprising:

8. The method of claim 7, wherein the configuration information of the candidate video comprises: determining at least one recommended book associated with the candidate video according to the configuration information of the candidate video further includes:

9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

10. A computer storage medium having stored therein at least one executable instruction that causes a processor to perform operations corresponding to the video-based book recommendation method of any one of claims 1-8.