Book recommendation method and device, equipment, storage medium and program product

Abstract

The embodiment of the invention relates to a book recommendation method and device, equipment, a storage medium and a program product. The method comprises the steps of obtaining current book content of a target book; the current book content is unread book content; analyzing the current book content based on a preset dimension, and determining an analysis result corresponding to the preset dimension; if the analysis result meets a preset condition corresponding to the preset dimension, determining book information and book recommendation content of the target book; the book recommendation content is generated based on the analysis result; and displaying the book information and the book recommendation content in the first page. Thus, through recommendation of the target book with the historical reading record, the interest degree of the user in the target book is improved again, the user is prompted to continue reading the target book, and therefore the reading rate of the target book is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of electronic books, and in particular to a book recommendation method, apparatus, device, storage medium and program product. Background Art

[0002] As e-books become more and more popular, there are more and more e-books on the Internet. Book applications / webpages / applets and other clients have launched book recommendation solutions to recommend e-books that users may be interested in. After a user starts reading a recommended e-book, the user may lose interest in reading the book for various reasons, eventually causing the user to stop reading the book, resulting in a lower reading rate of the book. Summary of the invention

[0003] In order to solve the above technical problems, the embodiments of the present disclosure provide a book recommendation method, apparatus, device, storage medium and program product.

[0004] In a first aspect, an embodiment of the present disclosure provides a book recommendation method, the method comprising:

[0005] Acquire the current book content of the target book; wherein the target book has historical reading information, and the current book content is the unread book content;

[0006] Analyze the current book content based on preset dimensions, and determine the analysis results corresponding to the preset dimensions;

[0007] If the analysis result satisfies the preset condition corresponding to the preset dimension, determining the book information and book recommendation content of the target book; the book recommendation content is generated based on the analysis result;

[0008] The book information and the book recommendation content are displayed on the first page.

[0009] In a second aspect, the present disclosure also provides a book recommendation device, the device comprising:

[0010] A current book content acquisition module is used to acquire the current book content of a target book; wherein the target book has historical reading information, and the current book content is the unread book content;

[0011] An analysis result determination module, used to analyze the current book content based on a preset dimension and determine the analysis result corresponding to the preset dimension;

[0012] A book recommendation content determination module, configured to determine the book information and book recommendation content of the target book if the analysis result satisfies the preset conditions corresponding to the preset dimensions; the book recommendation content is generated based on the analysis result;

[0013] The book recommendation content display module is used to display the book information and the book recommendation content on the first page.

[0014] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the electronic device comprising:

[0015] processor;

[0016] A memory for storing executable instructions;

[0017] The processor is used to read executable instructions from the memory and execute the executable instructions to implement the book recommendation method described in any embodiment of the present disclosure.

[0018] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the book recommendation method described in any embodiment of the present disclosure.

[0019] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, which is used to execute the book recommendation method described in any embodiment of the present disclosure.

[0020] The book recommendation method, apparatus, device, storage medium and program product of the embodiments of the present disclosure can obtain the current book content of the target book; the current book content is the unread book content; analyze the current book content based on the preset dimension to determine the analysis result corresponding to the preset dimension; if the analysis result meets the preset condition corresponding to the preset dimension, determine the book information and book recommendation content of the target book; generate the book recommendation content based on the analysis result; display the book information and book recommendation content on the first page; analyze the unread current book content of the target book with a historical reading record from the preset dimension, and judge whether the current book content meets the preset condition for distributing the target book to the same user again according to the analysis result, and when the judgment result is that it meets the preset condition, recommend the target book to the user again through the first page, and convey to the user through the book recommendation content that the target book is a book he has read before and the current book status of the target book, so as to further enhance the user's interest in the target book, prompt the user to continue reading the target book, and thus improve the reading rate of the target book.

[0021] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the embodiments of the present disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0023] Figure 1 A flowchart of a book recommendation method provided by an embodiment of the present disclosure;

[0024] Figure 2 A schematic diagram of displaying book recommendation content in a bookshelf page provided in an embodiment of the present disclosure;

[0025] Figure 3 A schematic diagram of displaying book recommendation content in another bookshelf page provided in an embodiment of the present disclosure;

[0026] Figure 4 A schematic diagram of the structure of a book recommendation device provided by an embodiment of the present disclosure;

[0027] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0029] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0030] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "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". The relevant definitions of other terms will be given in the following description.

[0031] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0032] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0033] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0034] The book client in the related art will recommend e-books that the user may be interested in. After the user starts reading a recommended e-book, the user may have to wait for a while each time before continuing to read the book due to various reasons, such as the lack of content in the newly listed books or the slow update of serialized books. As the waiting time becomes longer and the number of waiting times increases, the user's interest in reading the book may gradually decrease or even disappear, and eventually the user may stop reading the book. However, given that the book has a historical reading record or has been added to the user's bookshelf, the client will no longer recommend the book to the user. In this way, the book will eventually be forgotten by the user, resulting in a lower reading rate.

[0035] Based on the above situation, the embodiment of the present disclosure provides a book recommendation solution, which formulates a secondary distribution book recommendation strategy for target books that have user reading records, so that when it is determined that the target book meets the preset conditions for secondary distribution, the target book will be recommended again in an appropriate first page, so as to show the user the current updated status of the book he has read, and remind the user to continue reading the target book.

[0036] The book recommendation method provided in the embodiment of the present disclosure can be applied to the scenario of electronic book recommendation. The method can be performed by a book recommendation device, which can be implemented by software and / or hardware, and the device can be integrated in an electronic device where a client with a book reading function (such as a book application, a browser, an application that can load a small program, etc.) is located. The electronic device can include but is not limited to a smart phone, a personal digital assistant (PDA), a tablet PC (Tablet Personal Computer, Tablet PC), a wearable device, a smart home device such as a digital TV, a laptop or a desktop computer, etc.

[0037] Figure 1 FIG. 2 is a flow chart of a book recommendation method provided by an embodiment of the present disclosure. Figure 1 As shown, the book recommendation method may include the following steps:

[0038] S110: Acquire the current book content of the target book.

[0039] Among them, the target book is a book with historical reading information, which is a book to be distributed again. The historical reading information is the relevant information of reading books in the historical time period, for example, it can be at least one of the historical reading progress, the book content corresponding to the historical reading progress (referred to as the historical book content), and the moment corresponding to the historical reading progress (referred to as the historical reading moment). The current book content is the latest book content of the target book at the current moment, for example, it can be the content of the last updated chapter of the target book. Based on the above description, the target book is a book that the user has no reading behavior in a short period of time, then the current book content is the unread book content.

[0040] Specifically, the electronic device may pre-determine a target book that has a possibility of secondary distribution for the current user, and then obtain the current book content of the target book.

[0041] In some embodiments, before S110 , the electronic device determines the target book in a manner including: responding to the recommended configuration operation performed on the second page, and determining the book selected by the recommended configuration operation as the target book.

[0042] The second page is a pre-selected page related to the user, so as to provide an interactive entry for the user to make relevant settings. For example, the second page can be a bookshelf page containing books actively selected by the user, or a personal information page containing the user's personal information and related service functions (such as a "My" page), or a setting page dedicated to client function configuration, etc. The recommended configuration operation is an interactive operation for configuring relevant information of books preferred by the user.

[0043] Specifically, the electronic device may provide the user with a configuration interaction portal through the second page for setting the user's reading preference / habit by himself, and the user may perform a recommended configuration operation through the configuration interaction portal to select a target book.

[0044] In one example, the electronic device may provide a configuration interaction portal for a single book. Figure 2 , a reading configuration control 210 is displayed in the surrounding area (such as the area below) of each book on the bookshelf page 200. The user can trigger the reading configuration control 210 to set the corresponding book as the target book. Figure 2 , the user can also long press a book to trigger the display of a reading setting control 220 in the surrounding area of ​​the book (such as the right area of ​​the book). The user can set the book as the target book by triggering the reading configuration control 220. In this way, the user can select the book that he wants to continue reading but does not want to wait for the update, thereby improving the user's reading experience.

[0045] In another example, the electronic device may provide a configuration interactive portal for batch books. Figure 2 , the electronic device may display a configuration interaction control 230 of "batch setting" in the upper area of ​​the book page 200. The user may trigger the configuration interaction control 230 to select at least one book as a target book from all the books displayed in the bookshelf page. For another example, the user may set a filter rule for the target book (such as unread, unread within ** days, etc.) through the personal information page or the setting page, and the electronic device may automatically filter the multiple books corresponding to the user according to the filter rule to determine the target book.

[0046] In other embodiments, before S110, the electronic device may determine the target book by analyzing the user's reading behavior data, and the process is as follows: if the reading behavior data includes behavior data corresponding to completed books and / or behavior data of continuously reading multiple chapters, then at least one candidate book is determined based on the first behavior data in the reading behavior data; and the target book is determined from each candidate book based on the second behavior data corresponding to the candidate books in the reading behavior data.

[0047] Among them, the first behavior data is behavior data that characterizes a small first degree of attention to books. The first behavior data includes at least one of the behavior data of adding books to bookshelves, the behavior data of selecting books from reading history records, and the behavior data of adding books to favorites. These behavior data can all reflect that the user has a certain interest in the corresponding books. The second behavior data is behavior data that characterizes a large second degree of attention to candidate books. The second behavior data includes behavior data of stopping reading candidate books after the number of chapters of the historical reading candidate books exceeds a preset number of chapters (i.e., a second preset number of chapters), and / or behavior data of stopping reading candidate books after the reading time of the historical reading candidate books exceeds a preset time (i.e., a second preset time, such as 30 days).

[0048] Specifically, the electronic device may first analyze the user's reading behavior data to determine whether the user is suitable for secondary distribution of books. The electronic device may analyze the user's reading behavior data to determine whether it contains behavior data corresponding to completed books. For example, it is determined whether there is a selection of completed categories when screening books in the reading behavior data, or most of the books with completed category labels are selected when selecting books from the recommended books. If so, it means that the user prefers to read books with longer content, and does not like to wait for more books, so the user is more likely to abandon the unfinished books that he was interested in halfway, and it is suitable for secondary distribution of books. In addition, the electronic device can also determine whether the reading behavior data contains behavior data for reading multiple chapters continuously. For example, it is determined whether the user will read multiple chapters of books continuously in the reading behavior data, or even read the entire book in a shorter time. If so, it means that the user prefers continuous reading, and does not like to wait for more to read, so it can also be determined that the user is more likely to abandon the unfinished books that he was interested in halfway, and it is suitable for secondary distribution of books. On this basis, the electronic device can extract the first behavior data from the reading behavior data of the user, and use the books in the first behavior data as candidate books that the user may be interested in.

[0049] Among the candidate books mentioned above, there are books in which the user has a general degree of interest, and there are also books in which the user has a greater degree of interest. In order to improve the success rate of secondary recommendation of books and reduce interference to users at the same time. The electronic device can further extract the second behavior data corresponding to the candidate books from the reading behavior data. In the second behavior data, whether the user has read more chapters of the candidate book, or the user has read the candidate book continuously or occasionally for a long time, it means that the user has a stronger interest in the candidate book, but he has not continued to read the candidate book recently, then the candidate book can be determined as the target book. In this way, when the user has not clarified his reading preference, the books that the user is more interested in but interrupted can be automatically screened for the user, so that the target book can be recommended to the user later, avoiding the process of the user searching for the book again by himself, and improving the convenience of the user to find the target book, thereby improving the user experience and the reading rate of the target book.

[0050] S120: Analyze the current book content based on the preset dimension, and determine the analysis result corresponding to the preset dimension.

[0051] The preset dimension is a pre-set information dimension, which is set based on the reading behavior data of multiple users who have interrupted reading, and reflects the unread quantity of books or unread content-related information. Exemplarily, the preset dimension includes at least one of the word count dimension, chapter dimension, plot dimension, character dimension, and time dimension. Through these information dimensions, secondary recommendations of books can be made from dimensions that better meet the reading needs of users, thereby improving the success rate of secondary recommendations and the reading rate of secondary recommended books.

[0052] Specifically, the electronic device can analyze the current book content from a preset dimension to obtain the current unread status of the target book in the preset dimension, that is, obtain the analysis result corresponding to the preset dimension.

[0053] The analysis method for the current book content may be to pre-train a relevant model and use the trained model for analysis; the analysis method may also be to extract information related to a preset dimension and compare or match the information, etc. The specific analysis method for the current book content is related to the preset dimension.

[0054] In some embodiments, S120 includes: if the preset dimension includes a plot dimension, analyzing the current book content, and determining the storyline corresponding to the current book content as the analysis result of the plot dimension.

[0055] Specifically, if the preset dimension includes a plot dimension, the electronic device can perform a plot-related analysis on the current book content to determine the plot corresponding to the current book content. For example, the electronic device can use a natural language model in the relevant technology to analyze the current book content to output the plot contained therein. The natural language model is obtained by pre-training with various representative novel plot-related contents. For another example, the electronic device can perform an emotional tendency analysis on the current book content to determine the emotional relationship and emotional changes between the characters, and then determine what kind of plot the plot in the current book content is. For another example, the electronic device can extract information about the changes in the relationship between the characters in the current book content to determine what kind of plot the plot involved in the current book content is. For another example, the electronic device can extract key information from the current book content and match the key information with the keywords of the pre-set multiple plots to determine what kind of plot the plot involved in the current book content is. In this way, when the user has a reading preference in terms of the plot, through the processing of the plot dimension, the recommendation timing of the target book and the recommended content of the book can be made more in line with the user's preference, further improving the user's interest to a certain extent, and further improving the reading rate of the target book to a certain extent.

[0056] In some other embodiments, S120 includes: if the preset dimension includes a character dimension, analyzing the current book content, and determining the target character included in the current book content as the analysis result of the plot dimension.

[0057] Specifically, if the preset dimension includes a role dimension, the electronic device can analyze the current book content and extract the role contained therein (i.e., the target role). For example, the electronic device can match the current book content according to the role involved in the target book to extract the target role. In this way, when the user has a reading preference in terms of roles, the role dimension can be processed to make the target book recommendation timing and book recommendation content more in line with the user's preferences, which can also further improve the user's interest and the reading rate of the target book.

[0058] In some further embodiments, S120 includes: if the preset dimension includes a time dimension, determining the current moment corresponding to the current book content as the analysis result corresponding to the time dimension.

[0059] Specifically, if the preset dimension includes an absolute time dimension, the electronic device can determine the current moment of acquiring the current book content as the analysis result on the time dimension. In this way, secondary distribution processing can be performed from a time perspective to meet the needs of users (such as students) who have specific requirements on book reading time.

[0060] In some other embodiments, when the preset dimension includes at least one of a word count dimension, a chapter dimension, and a time dimension, S120 includes: comparing the current book content and the historical reading information according to the preset dimension, and determining the analysis result corresponding to the preset dimension.

[0061] Specifically, for any one of the word count dimension, chapter dimension, and relative time dimension, it is not only related to the current book content, but also to the historically read book content, in order to determine the unread quantity or duration. Therefore, if the preset dimension includes any one of the word count dimension, chapter dimension, and relative time dimension, the electronic device must extract the historical reading information from the information related to the target book. Then, the current book content and the historical reading information are compared to determine the analysis results of the aforementioned dimensions.

[0062] In one example, if the preset dimension includes a word count dimension, the total word count corresponding to the current book content is compared with the total word count corresponding to the historical book content in the historical reading information to determine the unread word count as the analysis result of the word count dimension.

[0063] Specifically, the electronic device calculates the difference in the number of words between the current book content and the historical book content as the number of unread words. The number of unread words is the result of the analysis on the word count dimension. For example, the electronic device can count the total number of words between the starting position of the book and the end position of the current book content, and then count the total number of words between the starting position of the book and the end position of the historical book content corresponding to the last reading progress, and finally calculate the difference between the two total word counts to obtain the number of unread words. For another example, the electronic device can start counting the number of words from the end position of the historical book content corresponding to the last reading history until the end position of the current book content, and the result is the number of unread words. In this way, it is possible to judge whether to redistribute the target book from the word count dimension to better meet the reading needs of users who are concerned about the number of words in the book.

[0064] In another example, if the preset dimension includes a chapter dimension, the total number of chapters corresponding to the current book content and the total number of chapters corresponding to the historical book content in the historical reading information are compared to determine the number of unread chapters as the analysis result of the chapter dimension.

[0065] Specifically, the electronic device calculates the difference between the chapters of the current book content and the historical book content as the number of unread chapters. The number of unread chapters is the analysis result on the chapter dimension. For example, the electronic device can determine the number of chapters in the current book content, and then determine the number of chapters in the historical book content corresponding to the last reading progress, and finally calculate the difference between the two to obtain the number of unread chapters. In this way, it is possible to determine whether to redistribute the target book from the chapter dimension to better meet the reading needs of users who are concerned about book chapters.

[0066] In another example, if the preset dimension includes a time dimension, the current moment corresponding to the current book content and the historical reading moments in the historical reading information are compared to determine the unread time as the analysis result of the time dimension.

[0067] Specifically, for the relative time dimension, the electronic device can obtain the current time corresponding to the current book content, then determine the historical reading time corresponding to the last historical reading progress, and finally calculate the difference between the two times to determine the unread time. In this way, it can be determined whether to redistribute the target book based on the dimension of unread time, so as to better meet the reading needs of users who pay attention to the length of the book.

[0068] S130: If the analysis result satisfies the preset conditions corresponding to the preset dimensions, the book information and book recommendation content of the target book are determined; the book recommendation content is generated based on the analysis result.

[0069] Among them, the preset condition is a pre-set condition for judging whether the target book can be redistributed, which corresponds to the preset dimension. For example, if the preset dimension is the plot dimension, the preset condition can be a preset plot; if the preset dimension is the word count dimension, the preset condition can be a preset word count, etc. Book information is the relevant information introducing the target book. Since the target book is a book that the user has read in the past and the user has a certain degree of understanding of it, the book information can be simple information to distinguish the books. For example, the book information can be basic information such as the picture, title, and author of the target book. The book recommendation content is the reason for recommending the book again. Because the preset dimension is the relevant dimension of the book that the user may be interested in, the book recommendation content can be generated according to the analysis results of the preset dimension to increase the user's reading interest. For example, the book recommendation content can be unread xx words, unread xx chapters, unread xx duration, unread chapters with ** plots, unread chapters with ** characters appearing for the first time or reappearing ** characters, etc.

[0070] Specifically, the electronic device compares the analysis result corresponding to the preset dimension with the preset condition to determine whether the analysis result meets the preset condition. If the comparison result of any dimension of the preset dimension is not satisfied, it means that the target book does not meet the condition for secondary distribution, then return to S110 to continue monitoring the target book. If the comparison result of at least one dimension of the preset dimension is satisfied, it means that the target book meets the condition for secondary distribution in the corresponding dimension, then the electronic device can recommend the target book to the user. At this time, the electronic device can extract the book information of the target book, and generate book recommendation content based on the analysis results of the preset dimensions that meet the conditions.

[0071] In some embodiments, S130 includes: if the preset dimension includes a plot dimension, and it is determined that the storyline corresponding to the current book content matches the preset plot, then determining the book information of the target book, and determining the book recommendation content based on the storyline.

[0072] The preset plot is a pre-set storyline that the user may be interested in. The preset plot can be a storyline set by the user himself or obtained from the analysis of reading behavior data, which corresponds to the storyline preferred by the user; the preset plot can also be a storyline mentioned in at least one of the book introduction, book review, book recommendation video or book recommendation copy, which corresponds to the highlight / hot plot of the target book.

[0073] Specifically, the electronic device can match the storyline of the plot dimension obtained above with the preset plot. If the storyline can match the preset plot, it means that the current book content contains the plot that the user may be interested in, and then the secondary recommendation target book is determined. Then, the electronic device can generate book recommendation content based on the successfully matched storyline, such as "** plot appears in the unread content (successfully matched storyline)". At the same time, book information can be extracted from many relevant information of the target book. In this way, the target book can be secondary recommended from the plot dimension, which can make the target book recommendation timing and book recommendation content more in line with user preferences, further enhance the user's interest to a certain extent, and further enhance the reading rate of the target book to a certain extent.

[0074] In some other embodiments, S130 includes: if the preset dimension includes a role dimension, and it is determined that the target role included in the current book content matches the preset role, then determining the book information of the target book, and determining the book recommendation content based on the target role.

[0075] The preset characters are pre-set characters that the user may be interested in. The preset characters can be set by the user himself or analyzed from reading behavior data (such as characters included in the chapters selected for skipping, characters searched, etc.), which correspond to the user's preferred characters; the preset characters can also be characters mentioned in at least one of the book introduction, book reviews, book recommendation videos or book recommendation texts, which correspond to the popular characters of the target book.

[0076] The electronic device can match the target role of the role dimension obtained above with the preset role. If the target role can match the preset role, it means that the current book content contains the role that the user may be interested in, and then the secondary recommended target book is determined. Then, the electronic device can generate book recommendation content based on the successfully matched target role, such as "** role appears in the unread content (successfully matched target role)". At the same time, book information can be extracted from many relevant information of the target book. In this way, when the user has a reading preference in terms of roles, the recommendation timing and book recommendation content of the target book can be made more in line with the user's preferences, which can also further enhance the user's interest and the reading rate of the target book.

[0077] In some other embodiments, S130 includes: if the preset dimension includes an absolute time dimension, and it is determined that the current moment corresponding to the current book content reaches the preset timing period, then determining the book information of the target book, and determining the book recommendation content based on the preset timing period.

[0078] The preset timing period is a pre-set timer period, for example, a weekend, a certain time in the evening, etc.

[0079] Specifically, the electronic device can compare the current moment corresponding to the current book content with the preset timing period to determine whether the current moment triggers the timer. If the absolute current moment triggers the arrival of the timer, the secondary recommendation target book is determined. Then, the electronic device can generate book recommendation content based on the triggered timer, such as "reaching the weekend, continue reading unread content". At the same time, book information can be extracted from many related information of the target book. In this way, secondary distribution processing can be performed from a time perspective to meet the reading needs of users who have specific requirements for book reading time.

[0080] In some other embodiments, S130 includes: if the preset dimension includes a relative time dimension, and it is determined that the unread time corresponding to the current book content is greater than or equal to the first preset time, then determining the book information of the target book, and determining the book recommendation content based on the unread time.

[0081] Among them, the first preset time length is a preset time period, such as 3 days, 7 days, 30 days, etc., which can be set according to the forgetting curve.

[0082] Specifically, the electronic device can compare the determined unread time with the first preset time. If the unread time does not reach the first preset time, it will not be redistributed. On the contrary, if the unread time is greater than or equal to the first preset time, the target book for secondary recommendation is determined. Then, the electronic device can generate book recommendation content based on the unread time, such as "the unread time has reached ** days". At the same time, book information can be extracted from many relevant information of the target book. In this way, it is possible to judge whether to redistribute the target book based on the dimension of the unread time, so as to better meet the reading needs of users who are concerned about the length of the book.

[0083] In some other embodiments, S130 includes: if the preset dimension includes a word count dimension, and it is determined that the number of unread words corresponding to the current book content is greater than or equal to the preset word count, then determining the book information of the target book, and determining the book recommendation content based on the unread word count.

[0084] The preset word count is a pre-set word count, such as 200,000 words, 500,000 words, etc. The preset word count may be set by the user, or may be determined based on an average of the number of words read continuously in the reading behavior data.

[0085] Specifically, the electronic device can compare the obtained unread word count with the preset word count. If the unread word count is greater than or equal to the preset word count, it means that the unread content has accumulated to the user's need to read books continuously, and then the secondary recommendation target book is determined. Then, the electronic device can generate book recommendation content based on the unread word count, such as "the unread word count has reached ** words". At the same time, the book information can be extracted from many relevant information of the target book. In this way, it can be judged whether to distribute the target book for the second time based on the word count dimension, so as to better meet the reading needs of users who pay attention to the word count of books.

[0086] In some other embodiments, S130 includes: if the preset dimension includes a chapter dimension, and it is determined that the number of unread chapters corresponding to the current book content is greater than or equal to a first preset number of chapters, then determining the book information of the target book, and determining the book recommendation content based on the number of unread chapters.

[0087] The first preset number of chapters is a pre-set number of chapters. The first preset number of chapters can be set by the user, or can be determined based on the average number of chapters read continuously in the reading behavior data.

[0088] Specifically, the electronic device can compare the obtained number of unread chapters with the first preset number of chapters. If the number of unread chapters is greater than or equal to the first preset number of chapters, it means that the unread content has accumulated to the user's need to read books continuously, and then the secondary recommendation target book is determined. Then, the electronic device can generate book recommendation content based on the number of unread chapters, such as "the number of unread chapters has reached ** chapters." At the same time, book information can be extracted from many relevant information of the target book. In this way, it is possible to judge whether to distribute the target book for a second time from the chapter dimension to better meet the reading needs of users who are concerned about book chapters.

[0089] In some embodiments, the preset condition corresponding to the preset dimension is configuration information preset in the background.

[0090] In other embodiments, the preset condition corresponding to the preset dimension can be set by the user. That is, before S110, the method further includes: responding to the recommended configuration operation on the second page, determining the configuration parameter of the preset dimension input by the recommended configuration operation as the preset condition corresponding to the preset dimension.

[0091] Specifically, see Figure 2 After the user triggers the reading configuration control 210, the reading setting control 220 or the configuration interaction control 230 of "batch setting", in addition to being able to select the target book by himself, he can also set his reading preferences by himself. The electronic device can display the configuration page of the reading preference in response to the triggering operation of the above-mentioned interactive control. Then, the user can select the preset dimension of his preference through the configuration page and set the preference value. The electronic device can determine the input preference value as the preset condition of the selected preset dimension in response to the user's selection operation and setting operation. This ensures that the unread status of the books recommended for the second time according to this preset condition is more in line with the user's reading needs, thereby further improving the success rate of book recommendations and the reading rate of target books.

[0092] S140: Display book information and book recommendation content on the first page.

[0093] The first page is another pre-selected page related to books so that relevant information of the recommended books can be displayed. Exemplarily, the first page includes at least one of a bookshelf page, a book recommendation page, and a book reading page. The book recommendation page is a page in the client that is mainly used to recommend books, such as a bookstore page, a homepage of the client, etc. The book reading page is a page of a reader module for displaying book content, such as a page corresponding to the end of a book (referred to as the end page of the book).

[0094] Specifically, the electronic device can package the book information and the book recommendation content and put it on the first page to achieve secondary distribution / recommendation of the target book. The display position and display style of the book information and the book recommendation content on the first page are not limited.

[0095] In some embodiments, S140 includes: displaying book information and book recommendation content in a preset area of ​​the first page.

[0096] Specifically, see Figure 2 If the first page is a bookshelf page, the electronic device can display the content display control 240 in the top area of ​​the bookshelf page, and display the book information and book recommendation information of the target book in the display area of ​​the content display control, such as "books to follow, unread xx words / / unread xx chapters / / unread xx duration / / appearance of ** plot / / ** character reappearance" and the like.

[0097] Continue to see Figure 2 If the first page is a bookshelf page or a book recommendation page, the electronic device can arrange and display the recommended books in the first area or the second area of ​​the page, and display the target books 250 for secondary distribution. The specific display content is the book information and book recommendation information, such as "follow-up books, unread xx chapters", etc.

[0098] If the first page is a book reading page, the electronic device may display book information and book recommendation information of the target book in an area of ​​the page that displays recommended content.

[0099] In some other embodiments, S140 includes: displaying book filter items corresponding to the book recommendation content on the first page, and displaying book information in a display area corresponding to the book filter items.

[0100] Specifically, the electronic device can be on the first page (for example, Figure 2 The interactive control 260 for book selection is displayed in the bookstore page 200 of the electronic device. When the user triggers it, the electronic device may display the following Figure 3 The filter page 300 shown in FIG. 300 may at least display a plurality of book filter items 310 consisting of book recommendation contents. Figure 3 Taking the number of unread chapters corresponding to the chapter dimension of the book recommendation content as an example, the book filter items of "unread", "unread more than 50 chapters", "unread more than 100 chapters" and "completed" can be displayed. When the user selects the book filter item of "unread more than 50 chapters", the electronic device can link the display of the book information of at least one book that meets the book recommendation content in the lower area of ​​the filter page 300. In this way, multiple secondary recommended target books can be displayed at one time, which improves the convenience of users to obtain books that they are more interested in, thereby further improving the user experience.

[0101] The book recommendation method provided by the embodiment of the present disclosure can obtain the current book content of the target book; the current book content is the unread book content; the current book content is analyzed based on the preset dimension to determine the analysis result corresponding to the preset dimension; if the analysis result meets the preset condition corresponding to the preset dimension, the book information and book recommendation content of the target book are determined; the book recommendation content is generated based on the analysis result; the book information and book recommendation content are displayed on the first page; the unread current book content of the target book with a historical reading record is analyzed from the preset dimension, and it is judged according to the analysis result whether the current book content meets the preset condition of distributing the target book to the same user again, and when the judgment result is that it meets the preset condition, the target book is recommended to the user again through the first page, and the book recommendation content is used to convey to the user that the target book is a book he has read before and the current book status of the target book, so as to further enhance the user's interest in the target book, prompt the user to continue reading the target book, and thus improve the reading rate of the target book.

[0102] The following is an embodiment of a book recommendation device provided by an embodiment of the present invention. The device and the book recommendation methods of the above embodiments belong to the same inventive concept. For details not described in detail in the embodiment of the book recommendation device, reference can be made to the embodiment of the above book recommendation method.

[0103] Figure 4 FIG. 2 shows a schematic diagram of the structure of a book recommendation device provided by an embodiment of the present disclosure. Figure 4 As shown, the book recommendation device 400 may include:

[0104] The current book content acquisition module 410 is used to acquire the current book content of the target book; wherein the target book has historical reading information, and the current book content is the unread book content;

[0105] An analysis result determination module 420 is used to analyze the current book content based on a preset dimension and determine the analysis result corresponding to the preset dimension;

[0106] The book recommendation content determination module 430 is used to determine the book information and book recommendation content of the target book if the analysis result meets the preset conditions corresponding to the preset dimensions; the book recommendation content is generated based on the analysis result;

[0107] The book recommendation content display module 440 is used to display book information and book recommendation content on the first page.

[0108] The book recommendation device provided by the embodiment of the present disclosure can obtain the current book content of the target book; the current book content is the unread book content; analyze the current book content based on the preset dimension to determine the analysis result corresponding to the preset dimension; if the analysis result meets the preset condition corresponding to the preset dimension, determine the book information and book recommendation content of the target book; the book recommendation content is generated based on the analysis result; display the book information and book recommendation content on the first page; realize the analysis of the unread current book content of the target book with a historical reading record from the preset dimension, and judge whether the current book content meets the preset condition of distributing the target book to the same user again according to the analysis result, and when the judgment result is that it meets the preset condition, recommend the target book to the user again through the first page, and convey to the user through the book recommendation content that the target book is a book he has read before and the current book status of the target book, so as to further enhance the user's interest in the target book, prompt the user to continue reading the target book, and thus improve the reading rate of the target book.

[0109] In some embodiments, the preset dimension includes at least one of a word count dimension, a chapter dimension, a plot dimension, a character dimension, and a time dimension.

[0110] Furthermore, the analysis result determination module 420 analyzes the current book content based on the preset dimension and determines the analysis result corresponding to the preset dimension by at least one of the following:

[0111] If the preset dimension includes a plot dimension, the current book content is analyzed to determine the storyline corresponding to the current book content as the analysis result of the plot dimension;

[0112] If the preset dimension includes the role dimension, the current book content is analyzed to determine the target role included in the current book content as the analysis result of the plot dimension;

[0113] If the preset dimension includes an absolute time dimension, the current moment corresponding to the current book content is determined as the analysis result corresponding to the time dimension.

[0114] In some embodiments, the analysis result determination module 420 is specifically used to:

[0115] In the case where the preset dimension includes at least one of a word count dimension, a chapter dimension, and a time dimension, the current book content and the historical reading information are compared according to the preset dimension to determine an analysis result corresponding to the preset dimension.

[0116] Furthermore, the analysis result determination module 420 compares the current book content and the historical reading information according to the preset dimension and determines the analysis result corresponding to the preset dimension by at least one of the following:

[0117] If the preset dimension includes a word count dimension, then the total word count corresponding to the current book content and the total word count corresponding to the historical book content in the historical reading information are compared to determine the number of unread words as the analysis result of the word count dimension;

[0118] If the preset dimension includes a chapter dimension, the total number of chapters corresponding to the current book content and the total number of chapters corresponding to the historical book content in the historical reading information are compared to determine the number of unread chapters as the analysis result of the chapter dimension;

[0119] If the preset dimension includes a time dimension, the current time corresponding to the current book content and the historical reading time in the historical reading information are compared to determine the unread time as the analysis result of the time dimension.

[0120] In some embodiments, the book recommendation content determination module 430 determines the book information and book recommendation content of the target book if the analysis result satisfies the preset conditions corresponding to the preset dimensions by at least one of the following:

[0121] If the preset dimension includes a plot dimension, and it is determined that the storyline corresponding to the current book content matches the preset plot, then the book information of the target book is determined, and the book recommendation content is determined based on the storyline;

[0122] If the preset dimension includes a role dimension, and it is determined that the target role included in the current book content matches the preset role, then the book information of the target book is determined, and the book recommendation content is determined based on the target role;

[0123] If the preset dimension includes a time dimension, and it is determined that the current moment corresponding to the current book content reaches the preset timing period, then the book information of the target book is determined, and the book recommendation content is determined based on the preset timing period;

[0124] If the preset dimension includes a time dimension, and it is determined that the unread time corresponding to the current book content is greater than or equal to the first preset time, then the book information of the target book is determined, and the book recommendation content is determined based on the unread time;

[0125] If the preset dimension includes a word count dimension, and it is determined that the number of unread words corresponding to the current book content is greater than or equal to the preset number of words, then the book information of the target book is determined, and the book recommendation content is determined based on the number of unread words;

[0126] If the preset dimension includes a chapter dimension, and it is determined that the number of unread chapters corresponding to the current book content is greater than or equal to the first preset number of chapters, the book information of the target book is determined, and the book recommendation content is determined based on the number of unread chapters.

[0127] In some embodiments, the book recommendation device 400 further includes a configuration module for:

[0128] Before obtaining the current book content of the target book, in response to the recommendation configuration operation acting on the second page, the book selected by the recommendation configuration operation is determined as the target book, and the configuration parameters of the preset dimension input by the recommendation configuration operation are determined as preset conditions corresponding to the preset dimension; the second page includes at least one of a bookshelf page, a personal information page and a settings page.

[0129] In some embodiments, the book recommendation apparatus 400 further includes a target book determination module for:

[0130] Before obtaining the current book content of the target book, if the reading behavior data includes behavior data corresponding to completed books and / or behavior data of continuously reading multiple chapters, at least one candidate book is determined based on first behavior data in the reading behavior data; wherein the first behavior data is behavior data representing a first degree of attention to the book; the first behavior data includes at least one of behavior data of adding a book to a bookshelf, behavior data of selecting a book from a reading history record, and behavior data of adding a book to a favorite;

[0131] Based on the second behavior data corresponding to the candidate books in the reading behavior data, a target book is determined from each candidate book; wherein the second behavior data is behavior data representing a second degree of attention to the candidate books; the second behavior data includes behavior data of stopping reading the candidate books after the number of chapters of the candidate books read in history exceeds a second preset number of chapters, and / or behavior data of stopping reading the candidate books after the reading time of the candidate books read in history exceeds a second preset time; the second degree of attention is greater than the first degree of attention.

[0132] In some embodiments, the book recommendation content display module 440 is specifically used to:

[0133] Displaying book information and book recommendation content in a preset area of ​​a first page; wherein the first page includes at least one of a bookshelf page, a book recommendation page, and a book reading page;

[0134] And / or, displaying book filter items corresponding to the book recommendation content on the first page, and displaying book information in a display area corresponding to the book filter items.

[0135] The book recommendation device provided in the embodiment of the present invention can execute the book recommendation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0136] It is worth noting that in the embodiment of the above-mentioned book recommendation device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present disclosure.

[0137] The present disclosure also provides an electronic device, which may include a processor and a memory, wherein the memory may be used to store executable instructions. The processor may be used to read the executable instructions from the memory and execute the executable instructions to implement the book recommendation method in the above embodiment.

[0138] Figure 5 A schematic structural diagram of an electronic device provided by an embodiment of the present disclosure is shown.

[0139] like Figure 5 As shown, the electronic device 500 may include a processing device 501 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output interface (I / O interface) 505 is also connected to the bus 504.

[0140] Typically, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data.

[0141] It should be noted that Figure 5 The electronic device 500 shown is only an example and should not limit the functions and scope of use of the embodiments of the present disclosure. Figure 5 The electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0142] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the book recommendation method of any embodiment of the present disclosure are executed.

[0143] An embodiment of the present disclosure further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the book recommendation method in any embodiment of the present disclosure.

[0144] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0145] In some embodiments, the client and server 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"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0146] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0147] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the steps of the book recommendation method described in any embodiment of the present disclosure.

[0148] In embodiments of the present disclosure, computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on a user's computer, partially on a user's computer, as a separate software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0149] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the equipment, method and computer program product according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0150] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0151] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A 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, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0152] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0153] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0154] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A book recommendation method, characterized in that: include: Acquire the current book content of the target book; wherein the target book has historical reading information, and the current book content is the unread book content; Analyze the current book content based on preset dimensions, and determine the analysis results corresponding to the preset dimensions; If the analysis result satisfies the preset condition corresponding to the preset dimension, determining the book information and book recommendation content of the target book; the book recommendation content is generated based on the analysis result; The book information and the book recommendation content are displayed on the first page.

2. The method according to claim 1, characterized in that The preset dimension includes at least one of a word count dimension, a chapter dimension, a plot dimension, a role dimension and a time dimension.

3. The method according to claim 2, characterized in that In the case where the preset dimension includes at least one of the plot dimension, the character dimension, and the time dimension, analyzing the current book content based on the preset dimension to determine the analysis result corresponding to the preset dimension includes at least one of the following: If the preset dimension includes the plot dimension, analyzing the current book content to determine the storyline corresponding to the current book content as the analysis result of the plot dimension; If the preset dimension includes the character dimension, analyzing the current book content to determine the target character included in the current book content as the analysis result of the plot dimension; If the preset dimension includes the absolute time dimension, the current moment corresponding to the current book content is determined as the analysis result corresponding to the time dimension.

4. The method according to claim 2, characterized in that: In a case where the preset dimension includes at least one of the word count dimension, the chapter dimension, and the time dimension, analyzing the current book content based on the preset dimension to determine the analysis result corresponding to the preset dimension includes: According to the preset dimension, the current book content and the historical reading information are compared to determine the analysis result corresponding to the preset dimension.

5. The method according to claim 4, characterized in that The comparing the current book content and the historical reading information according to the preset dimension to determine the analysis result corresponding to the preset dimension includes at least one of the following: If the preset dimension includes the word count dimension, comparing the total word count corresponding to the current book content with the total word count corresponding to the historical book content in the historical reading information, and determining the number of unread words as the analysis result of the word count dimension; If the preset dimension includes the chapter dimension, comparing the total number of chapters corresponding to the current book content with the total number of chapters corresponding to the historical book content in the historical reading information, and determining the number of unread chapters as the analysis result of the chapter dimension; If the preset dimension includes the relative time dimension, the current time corresponding to the current book content and the historical reading time in the historical reading information are compared to determine the unread time as the analysis result of the time dimension.

6. The method according to claim 3 or 5, characterized in that: If the analysis result satisfies the preset condition corresponding to the preset dimension, determining the book information and book recommendation content of the target book includes at least one of the following: If the preset dimension includes the plot dimension, and it is determined that the plot corresponding to the current book content matches the preset plot, then determining the book information of the target book, and determining the book recommendation content based on the plot; If the preset dimension includes the role dimension, and it is determined that the target role included in the current book content matches the preset role, then determining the book information of the target book, and determining the book recommendation content based on the target role; If the preset dimension includes the time dimension, and it is determined that the current moment corresponding to the current book content reaches the preset timing period, then the book information of the target book is determined, and the book recommendation content is determined based on the preset timing period; If the preset dimension includes the time dimension, and it is determined that the unread time length corresponding to the current book content is greater than or equal to the first preset time length, then determining the book information of the target book, and determining the book recommendation content based on the unread time length; If the preset dimension includes the word count dimension, and it is determined that the number of unread words corresponding to the current book content is greater than or equal to the preset word count, then determining the book information of the target book, and determining the book recommendation content based on the unread word count; If the preset dimension includes the chapter dimension, and it is determined that the number of unread chapters corresponding to the current book content is greater than or equal to the first preset number of chapters, the book information of the target book is determined, and the book recommendation content is determined based on the number of unread chapters.

7. The method according to claim 1, characterized in that Before obtaining the current book content of the target book, the method further includes: In response to a recommended configuration operation performed on a second page, the book selected by the recommended configuration operation is determined as the target book, and the configuration parameters of the preset dimension input by the recommended configuration operation are determined as the preset conditions corresponding to the preset dimension; the second page includes at least one of a bookshelf page, a personal information page, and a settings page.

8. The method according to claim 1, characterized in that Before obtaining the current book content of the target book, the method further includes: If the reading behavior data includes behavior data corresponding to completed books and / or behavior data of reading multiple chapters continuously, at least one candidate book is determined based on first behavior data in the reading behavior data; wherein the first behavior data is behavior data representing a first degree of attention to the book; the first behavior data includes at least one of behavior data of adding a book to a bookshelf, behavior data of selecting a book from a reading history record, and behavior data of adding a book to a favorite; Based on the second behavior data corresponding to the candidate books in the reading behavior data, the target book is determined from each of the candidate books; wherein the second behavior data is behavior data representing a second degree of attention to the candidate books; the second behavior data includes behavior data of stopping reading the candidate books after the number of chapters of the candidate books read in the past exceeds a second preset number of chapters, and / or behavior data of stopping reading the candidate books after the reading time of the candidate books read in the past exceeds a second preset time; the second degree of attention is greater than the first degree of attention.

9. The method according to claim 1, characterized in that: The displaying of the book information and the book recommendation content on the first page includes: Displaying the book information and the book recommendation content in a preset area of ​​the first page; wherein the first page includes at least one of a bookshelf page, a book recommendation page and a book reading page; And / or, displaying a book filtering item corresponding to the book recommendation content in the first page, and displaying the book information in a display area corresponding to the book filtering item.

10. A book recommendation device, characterized in that: include: A current book content acquisition module is used to acquire the current book content of a target book; wherein the target book has historical reading information, and the current book content is the unread book content; An analysis result determination module, used to analyze the current book content based on a preset dimension and determine the analysis result corresponding to the preset dimension; A book recommendation content determination module, configured to determine the book information and book recommendation content of the target book if the analysis result satisfies the preset conditions corresponding to the preset dimensions; the book recommendation content is generated based on the analysis result; The book recommendation content display module is used to display the book information and the book recommendation content on the first page.

11. An electronic device, characterized in that: include: processor; A memory for storing executable instructions; The processor is used to read the executable instructions from the memory and execute the executable instructions to implement the book recommendation method described in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the book recommendation method according to any one of claims 1 to 9.

13. A computer program product, characterized in that The computer program product is used to implement the book recommendation method according to any one of claims 1 to 9.

Images