CN114880458A

CN114880458A - Book recommendation information generation method, device, equipment and medium

Info

Publication number: CN114880458A
Application number: CN202210619143.5A
Authority: CN
Inventors: 谭一凡
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2022-06-01
Filing date: 2022-06-01
Publication date: 2022-08-09

Abstract

The disclosure relates to a book recommendation information generation method, device, equipment and medium. The generation method of the book recommendation information comprises the following steps: acquiring multimedia information related to a target book, wherein the multimedia information comprises at least one of historical comment information of the target book, book recommendation video of the target book, book short-play video corresponding to the target book and topic information related to the target book; determining target multimedia information for recommending the target book based on the multimedia information; and generating book recommendation information corresponding to the target book according to the target multimedia information. By adopting the method, the book recommendation information with rich content can be displayed when the electronic book is recommended to a reader, so that the user can comprehensively know each recommended book, and the user can be helped to find out the satisfied book more accurately and quickly.

Description

Book recommendation information generation method, device, equipment and medium

Technical Field

The present disclosure relates to the field of electronic devices, and in particular, to a method, an apparatus, a device, and a medium for generating book recommendation information.

Background

Electronic book platforms generally recommend books to readers to help readers seeking new books that are worth reading quickly find their book of satisfaction.

However, since the content of the recommendation information displayed by the electronic book platform when recommending books for readers is single, the readers can know the books more clearly, and the readers may not be interested in the recommended books.

Disclosure of Invention

In order to solve the technical problem or at least partially solve the technical problem, the present disclosure provides a method, an apparatus, a device, and a medium for generating book recommendation information.

In a first aspect, an embodiment of the present disclosure provides a method for generating book recommendation information, including:

acquiring multimedia information related to a target book, wherein the multimedia information comprises at least one of historical comment information of the target book, book recommendation video of the target book, book short-play video corresponding to the target book and topic information related to the target book;

determining target multimedia information for recommending the target book based on the multimedia information;

and generating book recommendation information corresponding to the target book according to the target multimedia information.

In a second aspect, an embodiment of the present disclosure provides an apparatus for generating book recommendation information, including:

the information acquisition unit is configured to acquire multimedia information related to the target book, wherein the multimedia information comprises at least one of historical comment information of the target book, book recommendation video of the target book, book short-play video corresponding to the target book and topic information related to the target book;

an information determination unit configured to determine target multimedia information for recommending a target book based on the multimedia information;

and the information generating unit is configured to generate book recommendation information corresponding to the target book according to the target multimedia information.

In a third aspect, an embodiment of the present disclosure provides a book recommendation information generation device, including:

a processor;

a memory for storing executable instructions;

the processor is used for reading the executable instructions from the memory and executing the executable instructions to realize the book recommendation information generation method.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program causes the processor to implement the method for generating book recommendation information.

Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:

the book recommendation information generation method, device, equipment and medium in the embodiments of the present disclosure can acquire multimedia information related to a target book, determine target multimedia information for recommending the target book based on the multimedia information, and generate book recommendation information corresponding to the target book according to the target multimedia information. The multimedia information used for generating the book recommendation information can comprise at least one of historical comment information of the target book, the book recommendation video of the target book, the book short-play video corresponding to the target book and topic information related to the target book, so that the book recommendation information with rich content can be displayed when the electronic book is recommended to readers, and users can comprehensively know each recommended book, so that the users can be helped to find out the satisfied books more accurately and quickly.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

Fig. 1 is a flowchart of a method for generating book recommendation information according to an embodiment of the present disclosure;

FIG. 2 is a flow diagram of a method for determining target multimedia information based on historical review information in accordance with some embodiments of the present disclosure;

FIG. 3 is a flow diagram of a method for determining target multimedia information based on historical review information and book recommendation video in some embodiments of the present disclosure;

FIG. 4 is a flow diagram of a method for determining target multimedia information based on historical review information and book short-play video in accordance with some embodiments of the present disclosure;

FIG. 5 is a flow diagram of a method for determining targeted multimedia information based on topic information in accordance with some embodiments of the present disclosure;

FIG. 6 is a flow chart of a method for determining target multimedia information based on a book recommendation video according to some embodiments of the present disclosure;

FIG. 7 is a flow diagram of a method for recommending information using a book in some embodiments of the present disclosure;

fig. 8 is a schematic interface diagram of a book reading program according to an embodiment of the present disclosure;

FIG. 9 is a schematic interface diagram of another book reading program according to an embodiment of the present disclosure;

FIG. 10 is a schematic view of an interface of a book reading program according to yet another embodiment of the present disclosure;

FIG. 11 is a schematic view of an interface of a book reading program according to yet another embodiment of the present disclosure;

fig. 12 is a schematic structural diagram of a book recommendation information generation apparatus according to an embodiment of the present disclosure;

fig. 13 shows a schematic structural diagram of a book recommendation information generation device provided in an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

Fig. 1 is a flowchart of a method for generating book recommendation information according to an embodiment of the present disclosure. As shown in fig. 1, a method for generating data recommendation information provided by the embodiment of the present disclosure includes S110 to S130.

It should be noted that the book recommendation information generation method provided by the embodiment of the present disclosure is executed by a server.

S110: and acquiring multimedia information related to the target book.

In the embodiment of the disclosure, the target book is a book to be recommended determined by the server. The multimedia information related to the target book is media information related to the content of the target book and used for displaying, evaluating or analyzing the content of the target book. In general, the multimedia information related to the target book is often media information for evaluating the content of the target book from the front, that is, media information for attracting the user to read the target book.

In the embodiment of the disclosure, the multimedia information may include at least one of historical comment information of the target book, a book recommendation video of the target book, a book short-play video corresponding to the target book, topic information related to the target book, and the like.

The historical comment information is comment information which is generated and uploaded to the server according to the reading experience of a reader who has read the target book after reading at least part of the content of the target book. The historical comment information may be comment information in a text form, comment information in an audio form, or comment information in other forms, and the embodiment of the present disclosure is not particularly limited. The historical comment information can be the summary of the reader on the content of the target book, the read feeling after reading the target book or the content analysis and quality evaluation of the target book.

The book recommendation video of the target book is a video for introducing the target book. For example, the book recommendation video may be a video in which the author introduces the content of the target book, such as the conception and the creation background, or may be a video in which the book commentator analyzes the content of the target book, evaluates the quality of the content, and recommends the reader after reading the target book.

The short video of the book corresponding to the target book is a video for briefly and delicately introducing a scenario of the target book, and the short video may be a video produced by a publisher of the target book according to the content of the target book or a video produced by a publisher according to the content of the target book, and the embodiment of the present disclosure is not particularly limited.

The topic information related to the target book is information for evaluating the target book and other books similar to the content of the target book in one topic column including the target book. The topic information may not directly evaluate the target book, but may entirely evaluate the target book and the related books.

S120: and determining target multimedia information for recommending the target book based on the multimedia information.

In the embodiment of the disclosure, after the multimedia information related to the target book is acquired, the server screens and/or processes the multimedia information according to a preset rule to obtain a part of high-quality multimedia information, and uses the multimedia information as the target multimedia information for recommending the target book. For how to filter and/or process a multimedia message according to a predetermined rule, the following analysis can be referred to obtain the target multimedia message.

S130: and generating book recommendation information corresponding to the target book according to the target multimedia information.

After the target multimedia information is acquired, the server associates the target multimedia information with the content information of the target book to generate corresponding book recommendation information for recommending the target book.

Specifically, the server may establish an association relationship between the target multimedia information and a title of the target book, a storage address of the target book, and the like, to obtain the book recommendation information. The book recommendation information is displayed on the electronic device used by the reader and clicked by the reader, and the electronic device used by the reader can load the content page of the target book according to the title of the book or the storage address of the book, so that the reader can read the target book. Stated differently, the target recommendation information may be a recommendation card for recommending a target book, and the reader may read the target book after seeing the recommendation card.

By the book recommendation information generation method provided by the embodiment of the disclosure, the multimedia information related to the target book can be acquired, the target multimedia information for recommending the target book is determined based on the multimedia information, and then the book recommendation information corresponding to the target book is generated according to the target multimedia information. Because the multimedia information for generating the book recommendation information can include at least one of historical comment information of the target book, the book recommendation video of the target book, the book short-play video corresponding to the target book, and topic information related to the target book, the generation method for generating the recommended book provided by the embodiment of the disclosure displays the book recommendation information with rich content when the reader recommends the electronic book, so that the reader can obtain a vivid and comprehensive understanding of the recommended target book, and the user can be helped to find the book in the recommendation information more accurately and quickly.

As before, in the disclosed embodiment, the multimedia information may include at least one of historical comment information, book recommendation video, book short play video, and topic information related to the target book. Correspondingly, the methods for processing various types of multimedia information to obtain the target multimedia information are different. In the following, a method for determining target multimedia information based on multimedia information in some embodiments of the present disclosure is described.

In some embodiments of the present disclosure, the multimedia information includes historical review information of the target book. FIG. 2 is a flow chart of a method for determining target multimedia information based on historical review information according to some embodiments of the present disclosure. As shown in fig. 2, the method of determining target multimedia information based on historical comment information includes S210-S220.

S210: and screening first comment information meeting preset comment screening conditions in the historical comment information.

In the embodiment of the present disclosure, the preset comment screening condition may include at least one of the following items.

(1) The number of words of the comment information is greater than or equal to a first threshold value. In practical application, if the number of words in the comment information is large, it is probably indicated that the reader who makes the comment reads the target book sufficiently, the comment made by the reader has a strong association relationship with the content of the target book, or the comment made by the reader shows understanding and evaluation of the target book sufficiently, and the comment information has a large reference value for readers who do not read the book. Conversely, if the number of words of the comment information is small, it is likely that the comment has no greater reference value. Therefore, the comment information greater than or equal to the first threshold may be used as the preset comment screening condition.

(2) The number of times of approval of the comment information is greater than or equal to a second threshold value. In some embodiments of the present disclosure, the information of comments made by preceding readers may be seen by following readers. If the number of times of approval of a certain comment information is large, the comment information indicates that more readers agree with the comment information made by the previous readers, and the corresponding comment information has typicality. Based on this, in the embodiment of the present disclosure, whether the number of times that the comment information is praised is greater than or equal to the second threshold may be used as a filtering condition to filter the historical comment information.

(3) The reading time of the user to which the comment information belongs for the target book is greater than or equal to a third threshold value. Through reading and analyzing actual readers, the longer a certain reader reads a target book, the higher the quality of the information content evaluated by the reader. The higher the content quality of the evaluation information, the more helpful the other readers to understand the target book. Based on this, in the embodiment of the present disclosure, the history comment information may be filtered by using, as the filtering condition, that the reading time of the user to which the comment information belongs for the target book is greater than or equal to the third threshold.

(4) The user to which the comment information belongs is a reader user of the target book. In some cases, the review information of certain target books may be malicious review information. For example, some comment information is malicious comment information made by abnormal readers, and the abnormal readers mentioned above are readers who have not read a target book through an e-book reader, but issue comment information. In addition, for the comment information published by the abnormal readers, a large number of malicious praise times can be generated. In order to avoid negative influence of the malicious comment information on subsequent readers, comment information made by users of real readers of the target book can be used as a screening condition to screen the comment information.

S220: and determining the target multimedia information according to the first comment information.

The number of the first comment information screened by the screening rule may be large, and in practical application, the large number of the first comment information is not needed, and only part of the first comment information is needed. Therefore, in the embodiment of the disclosure, secondary screening may be performed according to the first comment information, so as to determine the target multimedia information.

Optionally, in some embodiments of the present disclosure, S221-S222 may be adopted to determine the target multimedia information in the plurality of first comment information.

S221: the number of times of approval of each first comment information is determined.

S222: and taking the first comment information with the maximum number of times of approval as the target multimedia information.

In a specific embodiment, the server may determine the number of times of being praised of each piece of first comment information by querying the log information, and rank the pieces of first comment information in the order of the number of times of being praised from large to small. Subsequently, a preset number of first comment information ranked first may be taken as the target multimedia information.

By adopting the screening method for the historical comment information provided by the embodiment of the disclosure, the target multimedia information is determined, so that the screened target multimedia information (namely, the historical comment information) is typical comment information representing readers who have read the target books, and the readers can further obtain deeper and more accurate understanding of the recommended target books.

Optionally, in some embodiments of the present disclosure, the multimedia information includes historical comment information of the target book and a book recommendation video. Fig. 3 is a flowchart of a method for determining target multimedia information based on historical review information and book recommendation videos according to some embodiments of the present disclosure. As shown in fig. 3, the method of determining target multimedia information based on historical comment information includes S310-S330.

S310: and identifying the video content of the recommended video of the book to obtain the explanation content of the book aiming at the target book.

In the embodiment of the disclosure, the server identifies the video content of the book recommendation video, which may include identifying image frame information in the book recommendation video, and may also include identifying audio content information in the book recommendation video.

In some embodiments, when the image frame information is identified, the server may adopt a pre-trained video frame processing model to process the content of the video frame to obtain corresponding analysis text content, and use the analysis text content as corresponding book explanation content. The video frame processing model can be obtained by training sample video frames and corresponding sample analysis text contents and is used for processing the video frames to obtain a deep learning model of content information contained in the video frames.

In some other embodiments, when the audio content information is identified, the server may convert the audio content information by using an audio-text conversion model to obtain corresponding text content. After the text content is obtained, semantic recognition can be performed on the text content, and then semantic content contained in the audio content is obtained. Subsequently, the server may take the semantic content as the book explanation content of the target book.

In other embodiments, when the audio content information is identified, the server may directly process the audio content information by using the audio-semantic model to obtain corresponding semantic content, and use the obtained semantic content as the book explanation content. The audio-semantic model is a deep learning model which is obtained by training sample audio and corresponding sample semantic content to process an audio frame and obtain semantic content information contained in the audio frame.

S320: in the history comment information, second comment information associated with the book explanation content is selected.

After the book explanation information is obtained, the server can perform content screening in the historical comment information to obtain second comment information related to the book explanation content.

In some embodiments, the server may calculate content similarity or content correlation degree of each piece of history comment information with the book explanation content, and select a preset number of pieces of history comment information with the largest similarity or content correlation degree as the second comment information, or select, as the second comment information, piece of history comment information with content similarity or content correlation degree exceeding the preset similarity degree.

S330: and determining target multimedia information according to the recommended video of the book and the second comment information.

And determining target multimedia information according to the book recommended video and the second comment information, wherein the previous second comment information which is most relevant to the book recommended video in the second comment information can be used as the target multimedia information, and the book recommended video and the second comment information can be combined to form the target multimedia information together. If the book recommendation video and the second comment information are combined to serve as the target multimedia information, the book recommendation video can be placed before the second comment information or after the second comment information when the target multimedia information is subsequently displayed.

By adopting the screening method for the historical comment information provided by the embodiment of the disclosure, the explanation content of the book is determined by identifying the video content of the recommended video of the book, the comment information related to the explanation content of the book (namely, the recommended content carried by the recommended video of the book) in the historical comment information is determined according to the explanation content of the book, and the target multimedia information is determined according to the second comment information, so that the obtained target multimedia information can reflect the reader evaluation related to the recommended video of the book. Because most of the recommended videos of the books are recommended to the key part contents of the books, the method can enable readers who do not read the target books to better evaluate whether the target books are the books which are intentionally read or not according to the second comment information.

In some embodiments, when the target multimedia information includes a book recommendation video, the method provided by the embodiments of the present disclosure may introduce the target book to the reader in a manner of combining video recommendation and comment information recommendation, so that the reader can know the recommended content of the target book in various manners, and further, the reader can obtain a more vivid and comprehensive understanding of the recommended target book.

Optionally, in some embodiments of the present disclosure, the multimedia information includes historical comment information of the target book and a corresponding book short-play video. Fig. 4 is a flowchart of a method for determining target multimedia information based on historical review information and book-transcript video according to some embodiments of the present disclosure. As shown in fig. 4, the method of determining target multimedia information based on historical comment information includes S410-S430.

S410: and determining hot chapters in the target book based on the historical comment information.

In the embodiment of the disclosure, the hot sections in the target book are determined based on the historical comment information, which may be extracting the attention content in the historical comment information, and sorting according to the attention amount of each attention content to determine the attention content with the attention amount before a preset number. After the attention content with the previous attention amount is determined, the book chapter corresponding to the attention content can be determined according to the association relationship between the attention content and the book chapter, wherein the book chapter is a hot chapter in the target book.

S420: and extracting video segments corresponding to hot chapters from the book short play video.

After determining the hot sections of the target book, the server may extract the video segments corresponding to the hot sections according to the correspondence between the content of the video of the short series of the book and the sections of the book.

S430: and determining target multimedia information based on the comment information and the video clip corresponding to the hot chapter.

And determining target multimedia information based on the comment information and the video clip corresponding to the hot chapter, wherein the comment information and the video clip corresponding to the hot chapter are combined, and the combination of the comment information and the video clip is used as the target multimedia information. When the target multimedia information is subsequently displayed, the video clip can be placed in front of the comment information or behind the comment information.

By adopting the screening method for the historical comment information provided by the embodiment of the disclosure, the book chapters which are focused on by the historical comment information are determined by processing and analyzing the historical comment information, and the book chapters which are focused on by the history comment information are used as popular chapters. After the hot sections are determined, corresponding video sections are extracted from the book short-play video according to the hot sections, and the video sections and the comment information corresponding to the hot sections are used as target multimedia information, so that the target multimedia information can reflect the contents concerned by readers who read the target book in a historical comment information and video section mode, the concerned contents are the hot contents of the target book with high probability, and therefore the follow-up readers can obtain recommendation of the hot contents of the target book through the target multimedia information.

In addition, by adopting the method provided by the embodiment of the disclosure, the target book can be introduced to the reader in a mode of combining video recommendation and comment information recommendation, so that the reader can know the recommendation content of the target book in various modes, and further the reader can obtain more vivid and comprehensive understanding of the recommended target book.

Optionally, in some embodiments of the present disclosure, the multimedia information includes topic information related to the target book. Fig. 5 is a flowchart of a method for determining target multimedia information based on topic information according to some embodiments of the present disclosure. As shown in fig. 5, the method of determining target multimedia information based on topic information includes S510-S520.

S510: and extracting a target text and a topic book list in the topic information, wherein the target text is topic comment information related to the target book.

In the embodiment of the disclosure, after obtaining topic information related to a target book, a server may extract topic comment information related to the target book in the topic information, and determine a target text related to the target book (that is, topic comment information related to the target book). After determining the target text related to the target, information of other books included in the target text except the target book may be determined in a book name matching manner, and the information of the target book and the information of the other books may be used as the topic book list.

S520: and determining target multimedia information based on the target text and the topic book.

The target multimedia information is determined according to the target text, the topic book list and the topic book list, and the topic comment information with the prior comment word number or comment like number in the target text can be used as the comment information in the target multimedia information, and meanwhile, each book in the topic book list can be used as the book name information contained in the target multimedia information.

By adopting the method for screening the topic information provided by the embodiment of the disclosure, the content in the topic information is screened through the target book, the target text related to the target book and other books similar to the target book in the topic information (or the target text) are determined, the topic book list is determined by using the other books and the target book, and then the target multimedia information is constructed according to the topic book list and the target text, so that the comment information related to the target book and the similar book names are extracted. The target multimedia information obtained based on the method provided by the embodiment of the disclosure can better show the target books and similar books in topic information, so that readers can more conveniently know the target books and similar books.

Optionally, in some embodiments of the present disclosure, the multimedia information includes a book recommendation video corresponding to the target book. Fig. 6 is a flowchart of a method for determining target multimedia information based on a book recommendation video according to still other embodiments of the present disclosure. As shown in fig. 6, the method of determining target multimedia information based on historical comment information includes S610-S640.

S610: and extracting a video book list in the book recommendation video.

In the embodiment of the disclosure, the server may extract the key content of the video frame and/or the audio frame in the book recommendation video, obtain the text content information corresponding to the video frame and the audio frame, perform the book list screening according to the text content information, and determine the video book list in the book recommendation video.

S620: and acquiring topic information related to the video book list.

After the video book list is obtained, the server can perform content screening based on the existing topic information in the video book list, and determine the topic information related to the video book list. The topic information related to the video book list may be topic information that includes comments on the target book, or may not include topic information that includes comments on the target book, and the embodiment of the present disclosure is not particularly limited.

S630: and extracting a target text in the topic information, wherein the target text is topic comment information related to the target book.

After determining the topic information, the server may then perform content screening on the topic information based on the name of the target book or the content keyword therein, determine topic comment information related to the target book in the topic information, and take the topic comment information as the target text.

S640: and recommending videos based on the target text and the books, and determining target multimedia information.

And determining target multimedia information based on the target text and the book recommendation video, wherein the target text and the book recommendation video are combined, and the combination of the target text and the book recommendation video is used as the target multimedia information. When the target multimedia information is subsequently displayed, the book recommendation video can be placed in front of the target text, and the video clip can be placed behind the target text.

By adopting the screening method for the historical comment information provided by the embodiment of the disclosure, the video book list in the book recommendation video is extracted, and the video book list is utilized to determine the information of the topic related to the target book, so that the target text related to the target book can be extracted from the topic information more quickly, and the combination of the target text and the book recommendation video is adopted as the target multimedia information.

In addition, by adopting the method provided by the embodiment of the disclosure, the target book can be introduced to the reader in a mode of combining video recommendation and target text recommendation, so that the reader can know the recommended content of the target book in various modes, and the reader can further obtain more vivid and comprehensive understanding of the recommended target book.

By adopting the method provided by the foregoing embodiment, the server may generate the book recommendation information corresponding to the target book. The server may then store the book recommendation information in memory for later use.

FIG. 7 is a flow chart of a method for recommending information using a book in some embodiments of the present disclosure. As shown in fig. 7, a method for using book recommendation information provided by an embodiment of the present disclosure includes S710-S730.

S710: and determining a target recommendation scene corresponding to the book recommendation information based on the information type related to the target multimedia information.

As described above, the target multimedia information includes book information and recommended content information, and the recommended content information includes comment information and/or video information.

And determining a target recommendation scene corresponding to the book recommendation information according to the information type related to the multimedia information, wherein the target recommendation scene may be determined based on the book information. For example, in a case where the book information includes only information of a target book, the target recommendation scenario may be a recommendation scenario in which recommendation is made only for a single book, for example, a recommendation scenario of "good book" in book review. For another example, in the case where the book information is information including a topic book list, that is, the book information is information including a plurality of books, the target recommendation scenario may be a recommendation scenario for recommending a plurality of books, for example, a recommendation scenario under a topic.

And determining a target recommendation scene corresponding to the book recommendation information according to the information type related to the multimedia information, or determining the target recommendation scene based on the related recommendation content information. For example, in a case where the recommended content information includes only comment information, the target recommendation scene may be a recommendation scene under "reader comment". In the case where the recommended content information includes comment information and video information, and the video information is a book recommended video, the target recommendation scene may be a recommendation scene under "book review article theory".

Of course, the target recommendation scene may also be determined simultaneously according to the book information and the recommended content information.

S720: and receiving a recommendation request sent by the electronic equipment.

When a reader uses the electronic equipment to read books or consult recommended books, the user clicks the related control in the electronic equipment, triggers the related control to generate a recommendation request and sends the recommendation request to the server. The aforementioned recommendation request may include a recommendation scenario associated with the control.

S730: and sending book recommendation information to the electronic equipment under the condition that the recommendation scene corresponding to the recommendation request is the target recommendation scene.

After receiving the recommendation request, the server extracts a recommendation scene in the recommendation request and determines whether the recommendation scene is the same as a target recommendation scene corresponding to the target book. When the recommendation scene corresponding to the recommendation request is the same as the target recommendation scene, the server may send the book recommendation information to the electronic device, so that the electronic book outputs the book recommendation information in the target recommendation scene.

Fig. 8 is a schematic interface diagram of a book reading program according to an embodiment of the present disclosure. As shown in fig. 8, a bookend dynamic control 801 and a good comment control 802 are provided under the bookend column of the reading program. The book impondering dynamic control 801 is a control for triggering and displaying various topics 803, and the book commendable control 802 is a control for triggering and displaying reader comment information. What is shown in the current "book waste" column is the content triggered and displayed by the book waste dynamic control 801, and specifically, the attribute information of various topics and topics.

Fig. 9 is a schematic interface diagram of another book reading program according to an embodiment of the present disclosure. Fig. 9 shows the book recommendation information displayed after the reader triggers the favorable book control 802. After the reader triggers the highly-rated book control 802, the electronic device sends a recommendation request to the server, wherein a recommendation scene in the recommendation request is a comment scene for the target book. After receiving a propulsion request corresponding to the triggered commented book control 802, the server selects book recommendation information including comment information according to a recommendation scene in the propulsion request and sends the book recommendation information to the electronic device.

After receiving the book recommendation information sent by the server, the electronic device generates an interface as shown in fig. 9 according to the book recommendation information. As shown in fig. 9, the electronic device displays comment information 901 in the book recommendation information and a link 902 of the target book. The reader can determine whether the corresponding recommended book is the book which the reader intends to read or not through reading the comment information. In the case that the recommended book is a book to be read, clicking the link 902 of the comment information or the target book may jump to a reading interface of the target book, or add the target book to the bookshelf.

Fig. 10 is a schematic interface diagram of a book reading program according to another embodiment of the present disclosure. Fig. 10 shows topics 1001 and book recommendation information 1002 shown after the reader triggers the book block dynamic control 801. After the reader triggers the dynamic bookending control 801, the electronic device sends a topic acquisition request and a recommendation request to the server, wherein a recommendation scene in the recommendation request is a topic scene. After the server acquires the recommendation request and determines that a scene corresponding to the recommendation request is a topic scene, the server sends book recommendation information with a target recommendation scene being the topic scene to the electronic device, so that the electronic device displays the book recommendation information.

As shown in fig. 10, the book recommendation information acquired and displayed by the reader after triggering the book block dynamic control 801 includes a book recommendation video 1003 of the target book and a link 1004 of the target book. After the reader clicks the book recommendation video 1003, the video recommendation video 1003 is played; when the reader clicks the book recommendation video 1003 or the link 1004 of the target book again, the electronic device may jump to the corresponding book interface or add the corresponding target book to the bookshelf.

Fig. 11 is a schematic interface diagram of a book reading program according to another embodiment of the present disclosure. Fig. 11 shows information displayed by jumping to a corresponding topic column after the reader triggers a topic 1001 displayed under the dynamic block 801. As shown in fig. 11, the book recommendation information acquired and presented after the reader triggers the topic includes comment information 1101 and links 1102 of a plurality of recommended books related to the comment information. That is, after topic 1001 is triggered, the book recommendation information that the server sends to the electronic device is book recommendation information including comment information and a plurality of recommended books.

In addition to the method for generating the book recommendation information, an embodiment of the present disclosure further provides a device for generating the book recommendation information. Fig. 12 is a schematic structural diagram of a book recommendation information generation device according to an embodiment of the present disclosure. As shown in fig. 12, the book recommendation information generation apparatus 1200 includes an information acquisition unit 1201, an information determination unit 1202, and an information generation unit 1203.

The information obtaining unit 1201 is configured to obtain multimedia information related to the target book, the multimedia information including at least one of historical comment information of the target book, a book recommendation video of the target book, a book short drama video corresponding to the target book, and topic information related to the target book.

The information determining unit 1202 is configured to determine target multimedia information for recommending a target book based on the multimedia information.

The information generating unit 1203 is configured to generate book recommendation information corresponding to the target book according to the target multimedia information.

In some embodiments of the present disclosure, the multimedia information includes historical review information of the target book. The information determination unit 1202 includes a first comment information filtering subunit and a first target multimedia information acquisition subunit. The first comment information screening subunit is configured to screen first comment information meeting preset comment screening conditions from the historical comment information; the first target multimedia information acquisition subunit is configured to determine target multimedia information according to the first comment information. Wherein the preset comment screening condition comprises at least one of the following items: the number of words of the comment information is greater than or equal to a first threshold; the number of times of approval of the comment information is greater than or equal to a second threshold; reading duration of a user to which the comment information belongs for the target book is greater than or equal to a third threshold; the user to which the comment information belongs is a reader user of the target book.

In some embodiments of the present disclosure, the first target multimedia information obtaining subunit determines the number of times of approval to be given to each piece of first comment information, and takes a preset number of pieces of first comment information with the largest number of times of approval as the target multimedia information.

In some embodiments of the present disclosure, the multimedia information includes historical comment information of the target book and a book recommendation video of the target book. The information determination unit 1202 includes an explanation content acquisition subunit, a second comment information acquisition subunit, and a second target multimedia information acquisition subunit. The explanation content acquisition subunit is used for performing video content identification on the book recommendation video to obtain the book explanation content for the target book. The second comment information acquisition subunit is used for selecting second comment information associated with the book explanation content from the historical comment information. The second target multimedia information acquisition subunit is used for determining the target multimedia information according to the book recommendation video and the second comment information.

In some embodiments of the present disclosure, the multimedia information includes historical comment information of the target book and a book drama video corresponding to the target book. The information determination unit 1202 includes a hot chapter determination subunit, a video clip extraction subunit, and a third target multimedia information acquisition subunit. The hot section determining subunit is used for determining the hot sections in the target book based on the historical comment information. The video segment extracting subunit is configured to extract a video segment corresponding to the hot chapter from the book short-play video. And the third target multimedia information acquisition subunit is used for determining target multimedia information based on the comment information and the video clip corresponding to the hot chapter.

In some embodiments of the present disclosure, the multimedia information includes topic information related to the target book. The information determination unit 1202 includes an extraction subunit and a fourth target multimedia information acquisition subunit. The extraction subunit is used for extracting a target text and a topic book list in the topic information, wherein the target text is topic comment information related to the target book. And the fourth target multimedia information acquisition subunit is used for determining the target multimedia information based on the target text and the topic book list.

In some embodiments of the present disclosure, the multimedia information includes a book recommendation video corresponding to the target book. The information determination unit 1202 includes a video book acquisition subunit, a topic information acquisition subunit, a target text extraction subunit, and a fifth target multimedia information acquisition subunit. The video book list obtaining subunit is used for extracting the video book list in the book recommendation video. The topic information acquisition subunit is used for acquiring topic information related to the video book list. The target text extraction subunit is used for extracting a target text in the topic information, wherein the target text is topic comment information related to the target book. And the fifth target multimedia information acquisition subunit is used for recommending videos based on the target text and the books and determining target multimedia information.

In some embodiments of the present disclosure, the book recommendation information generation apparatus further includes a target recommendation scenario determination unit, a recommendation request acquisition unit, and an information recommendation unit. The target recommendation scene determining unit is used for determining a target recommendation scene corresponding to the book recommendation information based on the information type related to the target multimedia information. The recommendation request acquisition unit is used for receiving a recommendation request sent by the electronic equipment. The information recommending unit is used for sending book recommendation information to the electronic equipment under the condition that the recommendation scene corresponding to the recommendation request is the target recommendation scene.

It should be noted that the information display apparatus 1200 shown in fig. 12 may perform each step in the method embodiment shown in fig. 1 to 7, and implement each process and effect in the method embodiment shown in fig. 1 to 7, which are not described herein again.

The embodiment of the disclosure also provides a device for generating book recommendation information, which may include a processor and a memory, where the memory may be used to store executable instructions. The processor may be configured to read the executable instructions from the memory and execute the executable instructions to implement the information display method in the foregoing embodiments.

Fig. 13 shows a schematic structural diagram of a book recommendation information generation device provided in an embodiment of the present disclosure. Referring specifically to fig. 13, a schematic structural diagram of a generating device 1300 suitable for implementing book recommendation information in the embodiments of the present disclosure is shown.

It should be noted that the book recommendation information generation apparatus 1300 shown in fig. 13 is only an example, and should not bring any limitation to the functions and the use range of the embodiment of the present disclosure.

As shown in fig. 13, the book recommendation information generation apparatus 1300 may include a processing device (e.g., a central processing unit, a graphic processor, etc.) 1301 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)1302 or a program loaded from a storage device 1308 into a Random Access Memory (RAM) 1303. In the RAM1303, various programs and data necessary for the operation of the information processing apparatus 1300 are also stored. The processing device 1301, the ROM 1302, and the RAM1303 are connected to each other via a bus 1304. An input/output (I/O) interface 1305 is also connected to bus 1304.

Generally, the following devices may be connected to the I/O interface 1305: input devices 1306 including, for example, touch screens, touch pads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, and the like; an output device 1307 including, for example, a Liquid Crystal Display (LCD), speaker, vibrator, etc.; storage devices 1308 including, for example, magnetic tape, hard disk, and the like; and a communication device 1309. The communication means 1309 may allow the book recommendation information generation apparatus 1300 to perform wireless or wired communication with other apparatuses to exchange data. Although fig. 13 illustrates a book recommendation information generation apparatus 1300 having various devices, it is to be understood that not all of the illustrated devices are required to be implemented or provided. More or fewer devices may be alternatively implemented or provided.

The embodiment of the present disclosure also provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the processor is enabled to implement the method for generating book recommendation information in the above-mentioned embodiment.

In particular, the processes described above with reference to the flow diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 1309, or installed from the storage device 1308, or installed from the ROM 1302. The computer program, when executed by the processing apparatus 1301, performs the above-described functions defined in the information display method of the embodiment of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP, and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer-readable medium may be included in the book recommendation information generation device; or the book recommendation information generating device can exist alone and is not assembled into the book recommendation information generating device.

The computer-readable medium carries one or more programs which, when executed by the book recommendation information generation apparatus, cause the book recommendation information generation apparatus to perform: acquiring multimedia information related to a target book, wherein the multimedia information comprises at least one of historical comment information of the target book, book recommendation video of the target book, book short-play video corresponding to the target book and topic information related to the target book; determining target multimedia information for recommending the target book based on the multimedia information; and generating book recommendation information corresponding to the target book according to the target multimedia information.

In embodiments of the present disclosure, computer program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A book recommendation information generation method is characterized by comprising the following steps:

2. The method of claim 1, wherein the multimedia information comprises historical comment information of the target book;

wherein the determining target multimedia information for recommending the target book based on the multimedia information comprises:

screening first comment information meeting preset comment screening conditions in the historical comment information;

determining the target multimedia information according to the first comment information;

wherein the preset comment screening condition comprises at least one of the following items: the number of words of the comment information is greater than or equal to a first threshold; the number of times of approval of the comment information is greater than or equal to a second threshold; reading duration of a user to which the comment information belongs for the target book is greater than or equal to a third threshold; and the user to which the comment information belongs is a reader user of the target book.

3. The method of claim 2, wherein the determining the target multimedia information according to the first comment information comprises:

determining the number of times of approval of each piece of first comment information;

and taking the first comment information with the maximum number of times of approval as the target multimedia information.

4. The method of claim 1, wherein the multimedia information comprises historical comment information of the target book and a book recommendation video of the target book;

performing video content recognition on the book recommendation video to obtain book explanation content aiming at the target book;

selecting second comment information associated with the book explanation content from the historical comment information;

and determining the target multimedia information according to the book recommended video and the second comment information.

5. The method of claim 1, wherein the multimedia information includes historical comment information of the target book and a book short-play video corresponding to the target book;

determining hot sections in the target book based on the historical comment information;

extracting video segments corresponding to the hot chapters from the book short-play video;

and determining the target multimedia information based on the comment information corresponding to the hot chapter and the video clip.

6. The method of claim 1, wherein the multimedia information comprises topic information related to the target book;

extracting a target text and a topic book list in the topic information, wherein the target text is topic comment information related to the target book;

and determining the target multimedia information based on the target text and the topic book.

7. The method of claim 1, wherein the multimedia information comprises a book recommendation video corresponding to the target book;

extracting a video book list in the book recommendation video;

acquiring topic information related to the video book;

extracting a target text in the topic information, wherein the target text is topic comment information related to the target book;

and determining the target multimedia information based on the target text and the book recommendation video.

8. The method according to claim 1, wherein after generating the book recommendation information corresponding to the target book according to the target multimedia information, the method further comprises:

determining a target recommendation scene corresponding to the book recommendation information based on the information type related to the target multimedia information;

receiving a recommendation request sent by electronic equipment;

and sending the book recommendation information to the electronic equipment under the condition that the recommendation scene corresponding to the recommendation request is the target recommendation scene.

9. An apparatus for generating book recommendation information, comprising:

an information obtaining unit configured to obtain multimedia information related to a target book, the multimedia information including at least one of historical comment information of the target book, a book recommendation video of the target book, a book short drama video corresponding to the target book, and topic information related to the target book;

an information determining unit configured to determine target multimedia information for recommending the target book based on the multimedia information;

10. An apparatus for generating book recommendation information, comprising:

a processor;

a memory for storing executable instructions;

wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the book recommendation information generation method of any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, causes the processor to implement the method of generating book recommendation information according to any one of claims 1 to 8.