CN113722535A - Method for generating book recommendation video, electronic device and computer storage medium - Google Patents

Method for generating book recommendation video, electronic device and computer storage medium Download PDF

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Publication number
CN113722535A
CN113722535A CN202111028158.6A CN202111028158A CN113722535A CN 113722535 A CN113722535 A CN 113722535A CN 202111028158 A CN202111028158 A CN 202111028158A CN 113722535 A CN113722535 A CN 113722535A
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video
book
video material
user
read
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CN113722535B (en
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李佳著
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Zhangyue Technology Co Ltd
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Zhangyue Technology Co Ltd
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    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
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    • G06F16/735Filtering based on additional data, e.g. user or group profiles

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Abstract

The invention discloses a method for generating a book recommendation video, electronic equipment and a computer storage medium. Wherein, the method comprises the following steps: responding to a trigger operation of a recommended page of an electronic book to be read in the electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application; selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read; dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio; and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material. According to the scheme, targeted video materials can be selected according to the portrait of the user and/or the historical reading behavior of the user, and the book recommendation video is generated based on the video materials, so that the personalized requirements of different users can be met.

Description

Method for generating book recommendation video, electronic device and computer storage medium
Technical Field
The invention relates to the technical field of electronic books, in particular to a method for generating a book recommendation video, electronic equipment and a computer storage medium.
Background
In the field of mobile reading, e-book recommendation is a very critical link, aiming at pushing interesting books to users. The current mainstream recommendation mainly comprises: list recommendation and push recommendation. The complete process of recommending books to users is roughly as follows: "determine recommended information → expose → click → read". In any recommendation mode, the book detail page is basically the necessary step of clicking → reading.
The book detail page is the last node that the user decides whether the book is, and the significance is very important. There is a need to present the full information of a book to a user as completely and accurately as possible in a book detail page, an example of which is shown in fig. 1.
However, in the process of implementing the present invention, the inventor finds that the above solution in the prior art has at least the following defects: the current book detail pages present relevant information such as title, author, price, score, etc. in fixed dimensions. The presented information is rigid, the information presented by all users is uniform in the former stage, and the information which is most interesting to the users cannot be provided for the users; on the other hand, the book detail page information is various, and the user is not easy to locate the interested key information from the book detail page information.
Disclosure of Invention
In view of the above, the present invention has been made to provide a method, an electronic device, and a computer storage medium for generating a book recommendation video that overcome or at least partially solve the above problems.
According to an aspect of the present invention, there is provided a method of generating a book recommendation video, including:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
According to another aspect of the present invention, there is provided an electronic apparatus including: 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:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
According to still 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 perform operations corresponding to the method of generating a book recommendation video as described above.
According to the method for generating the book recommendation video, the electronic device and the computer storage medium disclosed by the invention, firstly, the user portrait and/or the user historical reading behavior of the current login account of the electronic book reading application are/is acquired in response to the triggering operation of the recommended page of the electronic book to be read in the electronic book reading application, and selecting the video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user, the video material library is composed of the associated information of the electronic book to be read, the video materials are divided into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio, and finally the book recommendation video of the electronic book to be read is generated according to the first video material, the second video material and the third video material. According to the scheme, targeted video materials can be selected according to the portrait of the user and/or the historical reading behavior of the user, and the book recommendation video is generated based on the video materials, so that the personalized requirements of different users can be met.
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 schematic flowchart illustrating a method for generating a book recommendation video according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for generating a book recommendation video according to a second embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for generating a book recommendation video according to a third embodiment of the present invention;
fig. 4 is a flowchart illustrating a method for generating a book recommendation video according to a fourth embodiment of the present invention;
fig. 5 shows a schematic structural diagram of an electronic device according to a sixth 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.
Example one
Fig. 1 is a flowchart illustrating a method for generating a book recommendation video according to an embodiment of the present invention. The method for generating the book recommendation video provided by the embodiment of the invention is executed by the device for generating the book recommendation video provided by the embodiment of the invention, the device for generating the book recommendation video can be implemented in a software or hardware manner, the device for generating the book recommendation video can be integrated in a terminal device or a server, the terminal device can be, for example, a mobile phone terminal, a computer terminal, a reader and/or an intelligent wearable device, and the server can be an electronic book reading application server.
As shown in fig. 1, the method includes:
step S110, responding to a trigger operation of a recommended page of an electronic book to be read in the electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application.
Specifically, before a user reads an electronic book, the user logs in an electronic book reading application by using a previously registered login account, and then enters a book city application interface of the electronic book reading application, an electronic book list is displayed on the book city application interface, each electronic book in the list corresponds to a virtual button, and the user triggers the virtual button, so that the device for generating the book recommendation video, provided by the embodiment of the invention, can obtain a user portrait and/or a user historical reading behavior of the current login account.
Specifically, the users can be classified into different types according to the difference of their historical reading behaviors in the e-book reading application, and then typical features are extracted from each type and visually displayed to form a user portrait. The historical reading behavior of the user comprises selecting an electronic book, reading the electronic book and the duration, reading book comments, reading recommended contents, entering a reader from a book detail page and the like.
Step S120, selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library is composed of the associated information of the electronic book to be read.
The video material library is established in advance and comprises at least one material of a book cover, an illustration, an author photo, an author related movie, an author related cartoon, a picture or a card containing text content, a picture or a card containing price, a comment, a label and audio synthesized according to the text content and/or the price.
Specifically, a video material library may be constructed for the associated information of the e-book to be read. The related information includes book detail pages, text content, book insert, book cover, picture insert, author photo, related film and television, related cartoon, text content and the like. Wherein, the related information such as book name, author, price, score, book cover, e-book brief introduction, etc. can be obtained by analyzing the book detail page. The literal content includes basic information of the work (such as author name, work name, ranking, content classification), e-book brief introduction, user comment, edit recommended language, e-book brief introduction, preset chapters, preset paragraphs, preset sentences (such as golden sentences), and the like.
After the associated information is acquired, the associated information needs to be processed into video materials and stored in a video material library. For example, photo-like material such as book seals, illustrations, author photos, associated movies, associated comics, and the like can be directly stored as video material in the video material library. For the text content, it is necessary to make a picture or generate a card, and store the corresponding picture or card as a video material in a video material library, for example, an electronic book introduction card, a gold sentence card, and the like. The pictures containing the prices comprise information such as time-limited special price, VIP free, new-made online and the like.
After the video material library is determined, video material that matches the user's interest may be selected from the video material library based on the user representation and/or the user's historical reading behavior.
Optionally, if the book to be read is in a preset stage (for example, sales promotion, current popular book, pre-sale, special price or free time), it can also be used as the selection basis of the video material. Specifically, the picture information corresponding to the preset stage may be directly used as the video material corresponding to the current login account, for example, if the preset stage is special price or free within a limited time, the price information is used as the video material corresponding to the current login account. And/or.
And taking the type of the book to be read as a selection basis of the video material. Specifically, the type of the book to be read is determined, and the video material related to the type of the book to be read is selected from the video material library as the video material corresponding to the current login account. For example, for electronic books of types such as comics, listening books, publishing, and internet texts, the increase and decrease of video material will be determined. For example, comics can add bullet screen scenes, high discussion split mirrors, published exquisite inserts, core arguments of full books, and the like.
In step S130, the video material is divided into a first video material as a video picture, a second video material as a video subtitle, and a third video material as a video audio.
Specifically, a picture material, i.e., a first video material, in the selected video materials can be directly used as a video picture; the second material, which is a text material in the selected video material, can be used as a subtitle; based on the text material in the selected video material, the text content is converted into voice (text to speech, TTS) to form dubbing, namely audio, the dubbing formed in the mode can conveniently realize individuation, and can be recorded by personnel in advance or edited by audio interview of an author, and the dubbing, namely the audio formed in the mode can ensure the quality.
Step S140, generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
Specifically, the video material serving as the video picture, the video material serving as the subtitle, and the video material serving as the audio are obtained through the above steps, and the book recommendation video of the electronic book to be read can be obtained through synthesis.
Optionally, if the preset playing time length, for example, 10s or 15s, is preset in the book recommendation video, the video material of the book recommendation video is added or deleted according to the preset playing time length. Specifically, when the playing duration of the book recommendation video generated according to the first video material, the second video material and the third video material exceeds the preset playing duration, deleting the video material corresponding to the current login account, and generating the book recommendation video of the electronic book to be read according to the deleted picture material and the audio material; or when the playing time of the book recommendation video generated according to the first video material, the second video material and the third video material is less than the preset playing time, increasing the video material corresponding to the current login account, and generating the book recommendation video of the electronic book to be read according to the increased picture material and the increased audio material.
Therefore, the method and the device can select the targeted video materials according to the portrait of the user and/or the historical reading behavior of the user, generate the book recommendation video based on the video materials, and can meet the personalized requirements of different users.
Example two
Fig. 2 is a flowchart illustrating a method for generating a book recommendation video according to the second embodiment of the present invention. The method for generating the book recommendation video provided by the embodiment is further optimized in the method in the first embodiment.
As shown in fig. 2, the method includes:
step S210, in response to a trigger operation of a recommended page of an electronic book to be read in the electronic book reading application, obtaining a user history reading behavior of the current login account of the electronic book reading application.
Step S220, determining influence factors entering a book detail page of the electronic book to be read through triggering operation according to the historical reading behavior of the user.
For example, if the user clicks the book detail page of the to-be-read e-book by searching the name of the author, it may be determined that the user has an influence on entering the book detail page of the to-be-read e-book as the author, so as to represent that the user pays attention to the author, and in step S230, a video material related to the author may be selected from the video material library as a video material corresponding to the current login account, for example, a photo of the author is selected as a video picture.
For another example, if the user clicks to enter the book detail page of the read e-book by searching for the title of the movie or by using a push message related to the movie, it may be determined that the influence factor that the user enters the book detail page of the e-book to be read is the movie, thereby representing that the user pays attention to the movie, and in step S230, a video material related to the movie may be selected from a video material library as a video material corresponding to the current login account, for example, a related picture or a movie fragment of the movie is selected as a video picture.
Step S230, selecting a video material related to the influencing factor from a video material library as a video material corresponding to the current login account, where the video material library is composed of the associated information of the e-book to be read.
In step S240, the video material is divided into a first video material as a video picture, a second video material as a video subtitle, and a third video material as a video audio.
And step S250, generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
Therefore, the method and the device can select the targeted video materials according to the historical reading behaviors of the user, generate the book recommendation videos based on the video materials, and meet the personalized requirements of different users.
EXAMPLE III
Fig. 3 is a flowchart illustrating a method for generating a book recommendation video according to the third embodiment of the present invention. The method for generating the book recommendation video provided by the embodiment is further optimized in the method in the first embodiment.
As shown in fig. 3, the method includes:
step S310, responding to the triggering operation of the recommended page of the electronic book to be read in the electronic book reading application, and acquiring the user portrait of the current login account of the electronic book reading application.
Step S320, classifying the current login account according to the user image to determine the category of the current login account.
Specifically, the current login account can be classified according to the user image, that is, the user is classified. For example, if it is determined that the user is a price-sensitive user according to the user figure, in step S230, the advertisement information and/or the coupon of the e-book to be read is used as the video material corresponding to the current login account, for example, a card containing the advertisement information and/or a card containing the coupon is used as the video screen, the advertisement information is played in the book recommendation video, and the coupon is fed back to the user after the playing is completed. For another example, if the price in the video material library is higher, the video material corresponding to the price is not selected as the video material corresponding to the current login account, and if the price in the video material library is higher, the video material corresponding to the price is selected from the video material library as the video material corresponding to the current login account.
For another example, if the user is determined to be a golden sentence sensitive user according to the user image, in step S230, a video material corresponding to a golden sentence is selected from the video material library as a video material corresponding to the current login account.
And step S330, selecting video materials corresponding to the current login account from a video material library according to the category, wherein the video material library is composed of the associated information of the electronic book to be read.
In step S340, the video material is divided into a first video material as a video picture, a second video material as a video subtitle, and a third video material as a video audio.
And step S350, generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
Therefore, the embodiment can select targeted video materials according to the user portrait, generate the book recommendation videos based on the video materials, and meet personalized requirements of different users.
Example four
Fig. 4 is a flowchart illustrating a method for generating a book recommendation video according to the fourth embodiment of the present invention. The method for generating the book recommendation video provided by the embodiment is further optimized in the method in the first embodiment.
As shown in fig. 4, the method includes:
step S410, in response to a trigger operation of a recommended page of an electronic book to be read in the electronic book reading application, acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application.
Step S420, selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library is composed of the associated information of the electronic book to be read.
In step S430, the video material is divided into a first video material as a video picture, a second video material as a video subtitle, and a third video material as a video audio.
Step S440, generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
And step S450, determining the playing priority of each video material in the book recommendation video according to the user portrait.
For example, if a gold sentence is determined to be of interest to the user based on the user representation, the playback priority of the video material of the gold sentence is increased. As another example, if the user is determined to be interested in the author based on the user representation, the playback priority of the video material associated with the author information is increased.
Step S460, in response to the triggering operation of the book recommendation video, playing the book recommendation video according to the playing priority of each video material.
Specifically, the playing interface of the book recommendation video is provided with a playing button, and a user can start playing of the book recommendation video by triggering the playing button.
Optionally, in order to avoid aesthetic fatigue of the user, the playing interface of the book recommendation video further has an interactive window, and receives user feedback including positive feedback (e.g., praise, add to a bookshelf, and read immediately) and negative feedback (e.g., close and switch to display the book) by responding to a triggering operation of the interactive window, and redetermines the playing priority of the unplayed video material in the book recommendation video based on the user feedback, and continues to play the book recommendation video according to the redetermined playing priority. For example, when a book recommendation video is played to an author, a large amount of positive feedback occurs, and the priority of the related video material corresponding to the author is increased. For another example, for the e-book "how steel is refined", positive feedback of a gold sentence by a user is most obvious, and because the user is most concerned about author-related information, a video material of the gold sentence + author information can be used as the head part of a book recommendation video.
And in addition, positive and negative feedback conditions of the user on each playing stage of the book recommendation video can be recorded, and under the condition that a privacy policy agrees, video materials of the book recommendation video are customized according to the positive and negative feedback conditions.
Therefore, the personalized playing of the book recommendation video can be realized according to the user portrait, and personalized requirements of different users can be met.
EXAMPLE five
An embodiment five 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 method for generating a book recommendation video in any of the above method embodiments.
The executable instructions may be specifically configured to cause the processor to:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
In an alternative embodiment, the executable instructions cause the processor to:
determining influence factors entering a book detail page of the electronic book to be read through triggering operation according to the historical reading behavior of the user;
and selecting the video material related to the influence factor from the video material library as the video material corresponding to the current login account.
In an alternative embodiment, the executable instructions cause the processor to:
classifying the current login account according to the user image to determine the category of the current login account;
and selecting the video material corresponding to the current login account from a video material library according to the category.
In an alternative embodiment, the executable instructions cause the processor to:
and when the book to be read is in a preset stage, taking the picture information corresponding to the preset stage as the video material corresponding to the current login account.
In an alternative embodiment, the executable instructions cause the processor to:
and determining the type of the book to be read, and selecting a video material related to the type of the book to be read from a video material library as a video material corresponding to the current login account.
In an alternative embodiment, the executable instructions cause the processor to:
when the playing duration of the book recommendation video generated according to the picture material and the audio material exceeds the preset playing duration, deleting the video material corresponding to the current login account, and generating the book recommendation video of the electronic book to be read according to the deleted picture material and the audio material; or the like, or, alternatively,
and when the playing duration of the book recommended video generated according to the picture material and the audio material is less than the preset playing duration, adding the video material corresponding to the current login account, and generating the book recommended video of the electronic book to be read according to the added picture material and audio material.
In an alternative embodiment, the executable instructions cause the processor to:
determining the playing priority of each video material in the book recommendation video according to the user portrait;
and responding to the triggering operation of the book recommendation video, and playing the book recommendation video according to the playing priority of each video material.
In an optional embodiment, the playing interface of the book recommendation video has an interactive window, and the executable instructions cause the processor to:
and responding to the triggering operation of the interactive window, receiving user feedback, re-determining the playing priority of the video material which is not played in the book recommendation video based on the user feedback, and continuously playing the book recommendation video according to the re-determined playing priority.
Therefore, the method and the device can select the targeted video materials according to the portrait of the user and/or the historical reading behavior of the user, generate the book recommendation video based on the video materials, and can meet the personalized requirements of different users.
EXAMPLE six
Fig. 5 shows a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention. The specific embodiment of the present invention does not limit the specific implementation of the electronic device.
As shown in fig. 5, the electronic device may include: a processor (processor)502, a Communications Interface 504, a memory 506, and a communication bus 508.
Wherein: the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508. A communication interface 504 for communicating with network elements of other devices, such as clients or other servers. The processor 502 is configured to execute the program 510, and may specifically perform the relevant steps in the above method embodiments.
In particular, program 510 may include program code that includes computer operating instructions.
The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The electronic device comprises one or more processors, which can 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 506 for storing a program 510. The memory 506 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 510 may specifically be used to cause the processor 502 to perform the following operations:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
In an alternative embodiment, the program 510 may be specifically configured to cause the processor 502 to perform the following operations:
determining influence factors entering a book detail page of the electronic book to be read through triggering operation according to the historical reading behavior of the user;
and selecting the video material related to the influence factor from the video material library as the video material corresponding to the current login account.
In an alternative embodiment, the program 510 may be specifically configured to cause the processor 502 to perform the following operations:
classifying the current login account according to the user image to determine the category of the current login account;
and selecting the video material corresponding to the current login account from a video material library according to the category.
In an alternative embodiment, the program 510 may be specifically configured to cause the processor 502 to perform the following operations:
and when the book to be read is in a preset stage, taking the picture information corresponding to the preset stage as the video material corresponding to the current login account.
In an alternative embodiment, the program 510 may be specifically configured to cause the processor 502 to perform the following operations:
and determining the type of the book to be read, and selecting a video material related to the type of the book to be read from a video material library as a video material corresponding to the current login account.
In an alternative embodiment, the program 510 may be specifically configured to cause the processor 502 to perform the following operations:
when the playing duration of the book recommendation video generated according to the picture material and the audio material exceeds the preset playing duration, deleting the video material corresponding to the current login account, and generating the book recommendation video of the electronic book to be read according to the deleted picture material and the audio material; or the like, or, alternatively,
and when the playing duration of the book recommended video generated according to the picture material and the audio material is less than the preset playing duration, adding the video material corresponding to the current login account, and generating the book recommended video of the electronic book to be read according to the added picture material and audio material.
In an alternative embodiment, the program 510 may be specifically configured to cause the processor 502 to perform the following operations:
determining the playing priority of each video material in the book recommendation video according to the user portrait;
and responding to the triggering operation of the book recommendation video, and playing the book recommendation video according to the playing priority of each video material.
In an optional embodiment, the playing interface of the book recommendation video has an interactive window, and the program 510 may be specifically configured to enable the processor 502 to perform the following operations:
and responding to the triggering operation of the interactive window, receiving user feedback, re-determining the playing priority of the video material which is not played in the book recommendation video based on the user feedback, and continuously playing the book recommendation video according to the re-determined playing priority.
Therefore, the method and the device can select the targeted video materials according to the portrait of the user and/or the historical reading behavior of the user, generate the book recommendation video based on the video materials, and can meet the personalized requirements of different users.
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 method of generating a book recommendation video, comprising:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
A2. The method of claim a1, wherein the selecting video material from a video material library corresponding to the current login account according to the user's historical reading behavior comprises:
determining influence factors entering a book detail page of the electronic book to be read through triggering operation according to the historical reading behavior of the user;
and selecting the video material related to the influence factor from the video material library as the video material corresponding to the current login account.
A3. The method of claim a1, wherein the selecting video assets from a video assets library corresponding to the current login account according to the user image comprises:
classifying the current login account according to the user image to determine the category of the current login account;
and selecting the video material corresponding to the current login account from a video material library according to the category.
A4. The method of claim a1, wherein the method further comprises:
and when the book to be read is in a preset stage, taking the picture information corresponding to the preset stage as the video material corresponding to the current login account.
A5. The method of claim a1, wherein the method further comprises:
and determining the type of the book to be read, and selecting a video material related to the type of the book to be read from a video material library as a video material corresponding to the current login account.
A6. The method of claim a1, wherein the generating a book recommendation video of the electronic book to be read from the picture material and the audio material includes:
when the playing duration of the book recommendation video generated according to the picture material and the audio material exceeds the preset playing duration, deleting the video material corresponding to the current login account, and generating the book recommendation video of the electronic book to be read according to the deleted picture material and the audio material; or the like, or, alternatively,
and when the playing duration of the book recommended video generated according to the picture material and the audio material is less than the preset playing duration, adding the video material corresponding to the current login account, and generating the book recommended video of the electronic book to be read according to the added picture material and audio material.
A7. The method of any one of claims a1-a6, wherein the method further comprises:
determining the playing priority of each video material in the book recommendation video according to the user portrait;
and responding to the triggering operation of the book recommendation video, and playing the book recommendation video according to the playing priority of each video material.
A8. The method of claim a7, wherein the play interface for the book recommendation video has an interactive window, the method further comprising:
and responding to the triggering operation of the interactive window, receiving user feedback, re-determining the playing priority of the video material which is not played in the book recommendation video based on the user feedback, and continuously playing the book recommendation video according to the re-determined playing priority.
The invention also discloses: B9. an electronic 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:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
B10. The electronic device of claim B9, wherein the executable instructions cause the processor to:
determining influence factors entering a book detail page of the electronic book to be read through triggering operation according to the historical reading behavior of the user;
and selecting the video material related to the influence factor from the video material library as the video material corresponding to the current login account.
B11. The electronic device of claim B9, wherein the executable instructions cause the processor to:
classifying the current login account according to the user image to determine the category of the current login account;
and selecting the video material corresponding to the current login account from a video material library according to the category.
B12. The electronic device of claim B9, wherein the executable instructions cause the processor to:
and when the book to be read is in a preset stage, taking the picture information corresponding to the preset stage as the video material corresponding to the current login account.
B13. The electronic device of claim B9, wherein the executable instructions cause the processor to:
and determining the type of the book to be read, and selecting a video material related to the type of the book to be read from a video material library as a video material corresponding to the current login account.
B14. The electronic device of claim B9, wherein the executable instructions cause the processor to:
when the playing duration of the book recommendation video generated according to the picture material and the audio material exceeds the preset playing duration, deleting the video material corresponding to the current login account, and generating the book recommendation video of the electronic book to be read according to the deleted picture material and the audio material; or the like, or, alternatively,
and when the playing duration of the book recommended video generated according to the picture material and the audio material is less than the preset playing duration, adding the video material corresponding to the current login account, and generating the book recommended video of the electronic book to be read according to the added picture material and audio material.
B15. The electronic device of any one of claims B9-B14, wherein the executable instructions cause the processor to:
determining the playing priority of each video material in the book recommendation video according to the user portrait;
and responding to the triggering operation of the book recommendation video, and playing the book recommendation video according to the playing priority of each video material.
B16. The electronic device of claim B15, wherein the play interface for the book recommendation video has an interactive window, the executable instructions causing the processor to:
and responding to the triggering operation of the interactive window, receiving user feedback, re-determining the playing priority of the video material which is not played in the book recommendation video based on the user feedback, and continuously playing the book recommendation video according to the re-determined playing priority.
The invention also discloses: C17. a computer storage medium having stored therein at least one executable instruction to cause a processor to perform operations corresponding to the method of generating a book recommendation video of any one of claims a 1-A8.

Claims (10)

1. A method of generating a book recommendation video, comprising:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
2. The method of claim 1, wherein said selecting video assets from a video assets library corresponding to said current login account based on said user's historical reading behavior comprises:
determining influence factors entering a book detail page of the electronic book to be read through triggering operation according to the historical reading behavior of the user;
and selecting the video material related to the influence factor from the video material library as the video material corresponding to the current login account.
3. The method of claim 1, wherein said selecting video assets corresponding to the current login account from a video assets library according to the user image comprises:
classifying the current login account according to the user image to determine the category of the current login account;
and selecting the video material corresponding to the current login account from a video material library according to the category.
4. The method of claim 1, wherein the method further comprises:
and when the book to be read is in a preset stage, taking the picture information corresponding to the preset stage as the video material corresponding to the current login account.
5. The method of claim 1, wherein the method further comprises:
and determining the type of the book to be read, and selecting a video material related to the type of the book to be read from a video material library as a video material corresponding to the current login account.
6. The method of claim 1, wherein the generating of the book recommendation video of the e-book to be read from the picture material and the audio material comprises:
when the playing duration of the book recommendation video generated according to the picture material and the audio material exceeds the preset playing duration, deleting the video material corresponding to the current login account, and generating the book recommendation video of the electronic book to be read according to the deleted picture material and the audio material; or the like, or, alternatively,
and when the playing duration of the book recommended video generated according to the picture material and the audio material is less than the preset playing duration, adding the video material corresponding to the current login account, and generating the book recommended video of the electronic book to be read according to the added picture material and audio material.
7. The method of any of claims 1-6, wherein the method further comprises:
determining the playing priority of each video material in the book recommendation video according to the user portrait;
and responding to the triggering operation of the book recommendation video, and playing the book recommendation video according to the playing priority of each video material.
8. The method of claim 7, wherein the play interface of the book recommendation video has an interactive window, the method further comprising:
and responding to the triggering operation of the interactive window, receiving user feedback, re-determining the playing priority of the video material which is not played in the book recommendation video based on the user feedback, and continuously playing the book recommendation video according to the re-determined playing priority.
9. An electronic 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:
responding to a trigger operation of a recommended page of an electronic book to be read in an electronic book reading application, and acquiring a user portrait and/or a user historical reading behavior of a current login account of the electronic book reading application;
selecting a video material corresponding to the current login account from a video material library according to the user portrait and/or the historical reading behavior of the user; the video material library consists of the associated information of the electronic book to be read;
dividing the video material into a first video material serving as a video picture, a second video material serving as a video subtitle and a third video material serving as a video audio;
and generating a book recommendation video of the electronic book to be read according to the first video material, the second video material and the third video material.
10. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the method of generating a book recommendation video according to any one of claims 1 to 8.
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