CN106897284B

CN106897284B - Recommendation method and device for electronic books

Info

Publication number: CN106897284B
Application number: CN201510955288.2A
Authority: CN
Inventors: 侯月姣
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2015-12-17
Filing date: 2015-12-17
Publication date: 2020-06-16
Anticipated expiration: 2035-12-17
Also published as: CN106897284A

Abstract

The invention discloses a recommendation method and device for an electronic book. Wherein, the method comprises the following steps: acquiring reading records of the electronic books, wherein the reading records are used for recording historical reading numbers corresponding to chapters in the electronic books; determining whether first recommended book information is acquired according to the electronic books according to the historical reading number corresponding to the chapters; and under the condition that the first recommended book information is determined to be acquired according to the electronic book, inserting the first recommended book information into a first preset position of the electronic book. The invention solves the technical problem of low use viscosity caused by the fact that related book information cannot be recommended in the process of reading the electronic books.

Description

Recommendation method and device for electronic books

Technical Field

The invention relates to the field of internet, in particular to a recommendation method and device for electronic books.

Background

With the development of the mobile internet, the reading mode led by the mobile internet is increasingly popularized. The user can use the browser or the reader and other applications in the mobile terminal such as a mobile phone and a tablet personal computer to read the interested electronic books. It has the advantages of convenient purchase, portability, reading at any time and any place, and the like.

At present, in order to improve the use experience of a user and the use viscosity of the user, in applications such as a browser or a reader, after the user reads the full text of an electronic book, the user is usually recommended to enter a book city or recommend related books on the last page. However, if the user does not read the full book, the user cannot receive the recommended content related to the book when the user gives up reading no longer to continue halfway. Often, the user cannot obtain the recommendation of the relevant books, and in a serious case, the user can be lost.

Aiming at the technical problem that the use viscosity is low due to the fact that related book information cannot be recommended in the process of reading an electronic book, an effective solution is not provided at present.

Disclosure of Invention

The embodiment of the invention provides a recommendation method and device for an electronic book, which at least solve the technical problem of low use viscosity caused by the fact that related book information cannot be recommended in the reading process of the electronic book.

According to an aspect of an embodiment of the present invention, there is provided an electronic book recommendation method, including: acquiring reading records of the electronic books, wherein the reading records are used for recording historical reading numbers corresponding to chapters in the electronic books; determining whether first recommended book information is acquired according to the electronic books according to the historical reading number corresponding to the chapters; and under the condition that the first recommended book information is determined to be acquired according to the electronic book, inserting the first recommended book information into a first preset position of the electronic book.

According to another aspect of the embodiments of the present invention, there is also provided an electronic book recommendation apparatus, including: the electronic book reading device comprises a first acquisition module, a second acquisition module and a reading module, wherein the first acquisition module is used for acquiring reading records of an electronic book, and the reading records are used for recording historical reading quantity corresponding to chapters in the electronic book; the determining module is used for determining whether to acquire first recommended book information according to the electronic books according to the historical reading number corresponding to the chapters; the first inserting module is used for inserting the first recommended book information into a first preset position of the electronic book under the condition that the first recommended book information is determined to be obtained according to the electronic book.

In the embodiment of the invention, reading records of the electronic book are obtained, wherein the reading records are used for recording historical reading quantity corresponding to chapters in the electronic book; determining whether first recommended book information is acquired according to the electronic books according to the historical reading number corresponding to the chapters; under the condition that the first recommended book information is obtained according to the electronic book, the first recommended book information is inserted into the first preset position of the electronic book, so that the technical effect of analyzing the reading behavior of the user through background data is achieved, the purpose of increasing the stickiness and the liveness of the user is achieved, and the technical problem that the use stickiness is low due to the fact that the related book information cannot be recommended in the reading process of the electronic book is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:

fig. 1 is a schematic view of an application scenario of an alternative recommendation method for an electronic book according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating an alternative method for recommending an Ebook according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an alternative ebook recommendation device according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of an alternative ebook recommendation device, according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an alternative ebook recommendation device, according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of an alternative ebook recommendation device, according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of an alternative ebook recommendation device, according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of an alternative ebook recommendation device, according to an embodiment of the present invention;

FIG. 9 is a schematic diagram of an alternative ebook recommendation device, according to an embodiment of the present invention;

FIG. 10 is a schematic diagram of an alternative ebook recommendation device, according to an embodiment of the present invention; and

fig. 11 is a block diagram of a computer terminal according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

In accordance with an embodiment of the present invention, there is provided an ebook recommendation method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.

The method provided by the first embodiment of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking an example of the method running on a mobile terminal, fig. 1 is a block diagram of a hardware structure of the mobile terminal of a method for recommending an electronic book according to an embodiment of the present application. As shown in fig. 1, the mobile terminal 10 may include one or more (only one shown) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmitting device 106 for communication functions. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the mobile terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

The memory 104 may be configured to store software programs and modules of application software, such as program instructions/modules corresponding to the real-time communication method of the multi-terminal in the embodiment of the present application, and the processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, so as to implement the real-time communication method of the multi-terminal. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 can be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.

Under the above operating environment, as shown in fig. 2, the method includes:

step S12, obtaining a reading record of the electronic book, where the reading record is used to record the historical reading number corresponding to the chapters in the electronic book.

Specifically, the historical reading number of each chapter of the electronic book may be obtained from the server side in step S12. The historical reading quantity can be determined by collecting reading information of a user reading the electronic book within a certain time.

In practical applications, the server may use the application program to obtain reading actions of all users when reading the electronic books. Wherein, the reading action at least comprises: reading chapters of the electronic books and reading time of the electronic books. And the server background program performs statistical analysis, aggregation analysis and other operations on the collected reading actions of a large number of users to obtain the historical reading number corresponding to each chapter of the electronic book.

Step S14, determining whether to acquire the first recommended book information from the electronic book according to the historical reading number corresponding to the chapter.

Specifically, in step S14, the reading behavior of the user who has read the electronic book can be analyzed according to the historical reading number of each chapter, so as to determine how many users have continued to read the next chapter after reading each chapter. And when the number of users who do not continue to read the next chapter after reading a certain chapter exceeds a certain number, determining that the chapter has the risk of user loss. In order to prevent the user from running away, the first recommended book information corresponding to the electronic book may be acquired from the server.

In practical application, the server background can periodically calculate the difference between the historical reading numbers of each chapter in the electronic book, and further calculate the decline rate of the historical reading numbers. And comparing the reduction rate with a preset first threshold value to determine whether the user is at risk of losing.

Of course, each time the user opens the application program to read the electronic book, the decreasing rate of the current reading section compared with the next section is calculated and compared with the first threshold value, so as to determine whether the user runs away.

In step S16, in a case where it is determined that the first recommended book information is acquired from the electronic book, the first recommended book information is inserted into a first predetermined position of the electronic book.

The first predetermined position may be inserted to the end of the previous chapter of the chapter at which the user churn risk exists, or may be inserted to the end of the chapter at which the user churn risk exists.

Specifically, in step S16, the acquired first recommended book information is inserted into the electronic book, so as to be recommended to the current user.

Through the above steps S12 to S16, it is determined whether the first recommended book information is generated for the electronic book according to the reading records of all the users for the electronic book. Therefore, the technical effect of analyzing the reading behavior of the user through background data is achieved, the purpose of increasing the viscosity and the activity of the user is achieved, and the technical problem that the use viscosity is low due to the fact that the information of related books cannot be recommended in the reading process of the electronic books is solved.

As an alternative embodiment, the step S14 of determining whether to acquire the first recommended book information from the electronic book according to the historical reading number may include:

in step S141a, a reading difference between chapters is determined based on the number of historical readings corresponding to the chapter.

In step S143a, when the reading difference is greater than or equal to the preset first threshold, the first recommended book information is obtained according to the electronic book.

Specifically, by steps S141a to S143a, reading differences in the number of historical readings between the respective chapters can be calculated. And judging the number of users lost in each chapter by reading the difference. And when the reading difference value is greater than or equal to a preset first threshold value, determining that the chapter has the risk of user loss.

As an optional implementation, before obtaining the reading record of the electronic book, the method further includes:

step S11, obtaining a current reading status of the electronic book, wherein the current reading status at least includes: a current reading chapter and a chapter to be read.

Specifically, when the electronic book is displayed through the application program or the browser for reading the electronic book, the current reading state of the electronic book may be obtained through step S11, so as to determine the current reading chapter and the next chapter to be read that the user is reading.

In practical application, the page number of the electronic book currently being read can be directly acquired, so that the current reading chapter and the reading chapter can be determined according to the catalogue information of the electronic book. For example, when 48 pages of a book are currently read, the page number interval of the second chapter can be found from 42 pages to 53 pages according to the catalog information of the electronic book. Thus, it can be determined that the currently reading chapter is the second chapter and the chapter to be read is the third chapter.

As an alternative implementation, the reading record includes a first historical reading number of the current reading chapter and a second historical reading number of the to-be-read chapter, wherein the step S14 determines whether to obtain the first recommended book information according to the electronic book according to the historical reading number corresponding to the chapter, and may include:

in step S141b, the ratio of the first historical reading quantity to the second historical reading quantity is compared with a preset second threshold.

In step S143b, when the ratio is greater than or equal to the second threshold, the first recommended book information is acquired.

Specifically, through steps S141b to S143b, a ratio between a first historical reading number of the current reading chapter and a second historical reading number of the to-be-read chapter can be calculated, and the ratio is compared with a preset second threshold. When the ratio is greater than or equal to the second threshold, it is indicated that the electronic book has a phenomenon that a large amount of users run off in the current reading chapter, and therefore, the first recommended book information can be acquired from the server for recommending the current user. The second threshold is used to determine the loss rate of the current reading chapter of the user, and the value thereof may be determined according to actual conditions and a calculation manner, which is not specifically limited herein.

In practical applications, there are various reasons for the loss of users, but most of them are caused by reading the content of chapters currently. Therefore, the problems can be intuitively reflected through the reading records of the background. Accordingly, the user may be provided with recommended book information related to the current electronic book by inserting the recommended book information after the current reading chapter. Therefore, the user loss and the activity reduction caused by the fact that the user loses interest in the current electronic books but does not have interesting books are prevented.

As an alternative embodiment, inserting the first recommended book information into the first predetermined location of the electronic book at step S16 may include:

in step S161, a recommendation page is generated according to the first recommended book information.

In step S163, the recommendation page is inserted between the current reading chapter and the chapter to be read.

Specifically, in order to improve the reading experience of the user, through steps S161 to S163, a recommendation page having the same format as that of the electronic book is generated for the first recommendation book, and the recommendation page is inserted between the current reading chapter and the chapter to be read.

As an optional implementation manner, the prompting manner for the first recommended book may include: the current page is displayed on the current page in the form of a prompt window, the specified position of the current page in the form of prompt information, or the current page and the next page are inserted in the form of a recommended page. Of course, the first recommended book further includes other prompting manners, and is not particularly limited herein.

As an alternative implementation manner, when the ratio is greater than or equal to the second threshold at step S143b, acquiring the first recommended book information may include:

step S1431, acquiring current book information of the electronic book, where the current book information at least includes: book type of the electronic book, book author of the electronic book.

Step S1433, inquiring the first recommended book information in the server according to the book type and/or the book author.

Specifically, through steps S1431 to S1433, book information of the current electronic book, such as a book type and a book author, may be acquired, and book information similar to the type and content of the current electronic book may be acquired according to the book information as first recommended book information, so as to be close to the reading interest point of the user.

In practical applications, the electronic book is described by taking 'dream of Red mansions' as an example. By obtaining the book type of 'dream of red chamber', the book type of the book can be obtained as follows: novel, classical, four great famous, etc. According to the book type, the electronic books which can be inquired and conform to the book type are as follows: the three kingdoms of the Yan Yi, the Shuihu Chun and the Yongzheng dynasty, etc. Therefore, the queried electronic book can be used as the first recommended book information.

As an optional implementation manner, book tags can be set for the electronic books according to the contents of the electronic books, and the first recommended book information can be recommended more accurately according to the preference of the user through the book tags.

As an alternative implementation manner, before the step S11 of acquiring the current reading state of the electronic book, the method may further include:

step S101, obtaining a historical reading record of the current user in a preset time, wherein the historical reading record is used for recording reading data of the current user in the preset time.

Step S103, judging the reading amount trend of the current user according to the historical reading record, wherein the reading amount trend at least comprises the following steps: rise, level and fall.

And step S105, when the reading amount trend is reduced, inserting second recommended book information acquired from the server at a second preset position of the electronic book.

Specifically, through steps S101 to S105, the usage habits and usage actions of the user using the application or browser for reading electronic books are further analyzed, and the trend of the reading amount of the user in the predetermined time is determined through the analysis. And when the reading amount trend is descending, acquiring second recommended book information for recommending to the user.

As an alternative embodiment, when the history reading record includes: when the reading time of the electronic book and the number of pages read by the electronic book are each time read, in the step S103, the determining the current reading amount trend of the user according to the historical reading record may include:

and step S1031, determining the time average change rate of the reading time according to the reading time of each reading of the electronic books.

Step S1033, determining the average change rate of the number of the reading pages according to the reading pages of the electronic book at each time.

In step S1035, when the average rate of change in time is less than the preset third threshold and/or the average rate of change in the number of pages is less than the preset third threshold, it is determined that the reading amount trend is decreasing.

Specifically, through steps S1031 to S1035, the reading amount trend can be determined according to the average reading time and/or the average number of pages read per time of the current user. And determining that the reading amount trend of the current user is reduced if the average reading time of the current user is shortened and the average number of pages per reading is reduced within the preset time.

As an alternative embodiment, inserting the second recommended book information acquired from the server at the second predetermined position of the electronic book in step S105 may include:

step S1051, obtaining second recommended book information from the server, where the second recommended book information is book information of a predetermined number having the largest number of reads in the server.

Step S1053, inserting the first recommended book information into the second predetermined position.

Specifically, when the reading amount tends to decrease, it is considered that the user may decrease the amount of use of the current application or browser due to the problem of reading the content. Therefore, in order to improve the activity of the user, the book information of a plurality of books with the largest sales number and/or reading number may be directly obtained from the server through the steps S1051 to S1053, and the book information of the books may be recommended to the current user as the second recommended book information.

As an alternative embodiment, the second recommended book information may be pushed to a terminal installed with the application or browser for reading electronic books in the form of information at predetermined time intervals. Of course, the electronic book can be displayed on the display interface each time the application or the browser for reading the electronic book is opened. Of course, the second recommended book information may also be displayed in other manners, and is not limited specifically here.

As an alternative implementation, in practical applications, the method is described by taking "dream of red chamber" as an example, and includes the following specific steps:

step A, acquiring reading records of all users who read electronic books 'dream of Red mansions' from background data in a server;

step B, determining the number of users lost in each section by performing data statistics on the reading records, for example, after performing data statistics on the monthly records, determining that 20% of users in chapter 47 of 'dream of Red mansions' do not continue to read chapter 48;

and step C, inserting recommended contents corresponding to the dream of Red mansions at the end of the previous chapter of chapter 47, for example, inserting recommended contents at the end page of chapter 46 of the dream of Red mansions.

As an alternative implementation, in practical applications, the method is further described by taking "dream of red chamber" as an example, and the specific steps are as follows:

and a, acquiring reading chapter information and next chapter information to be read of 'dream of Red mansions' of a user at present through a mobile phone client. For example, the chapter where the user is reading "dream of Red mansions" is chapter 47, and the chapter to be read is chapter 48.

And b, acquiring a first historical reading number corresponding to the chapter 47 and a second historical reading number corresponding to the chapter 48 from the background server according to the chapter 47 to be read and the chapter 48 to be read.

And c, comparing the reduction quantity of the second historical reading quantity compared with the first historical reading quantity with a preset threshold value. For example, in "dream of Red mansions", in chapter 47, 20% of users do not continue reading chapter 48, and therefore, 20% is compared with a preset threshold.

And d, when the reduction number is smaller than the threshold value, acquiring recommended book information from the server according to the information of the electronic books. For example, when it is determined that the number of people reading in chapter 47 of "dream of red building" is less than the threshold value, recommended book information such as "the book of the waterside," the three kingdoms profession, "and" the Yongzheng dynasty "is obtained from information such as the book type and the author of" dream of red building ".

And e, generating a recommended book page according to the acquired recommended book information, and inserting the recommended book page to a position between the current reading chapter and the to-be-read chapter. For example, recommended pages are generated in a book plate form according to "dream of Red mansions" by using recommended book information such as "Chuihu river biography", "three kingdoms Yan Yi" and "Yongzheng dynasty", and are inserted to a position between chapter 47 and chapter 48.

Therefore, through the steps a to e, recommended book information can be provided for the user according to reading behaviors of a large number of users, and therefore the viscosity of the user is improved. Therefore, the technical effect of analyzing the reading behavior of the user through background data is achieved, the purpose of increasing the viscosity and the activity of the user is achieved, and the technical problem that the use viscosity is low due to the fact that the information of related books cannot be recommended in the reading process of the electronic books is solved.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.

Example 2

According to an embodiment of the present invention, there is also provided an electronic book recommendation apparatus for implementing the above method for recommending an electronic book, as shown in fig. 3, the apparatus including: a first acquisition module 22, a determination module 24, and a first insertion module 26.

The first obtaining module 22 is configured to obtain a reading record of the electronic book, where the reading record is used to record a historical reading number corresponding to a chapter in the electronic book; the determining module 24 is configured to determine whether to acquire first recommended book information according to the electronic books according to the historical reading number corresponding to the chapters; the first inserting module 26 is configured to insert the first recommended book information into a first predetermined position of the electronic book if it is determined that the first recommended book information is obtained from the electronic book.

Through the first obtaining module 22, the determining module 24 and the first inserting module 26, whether the first recommended book information is generated for the electronic book is determined according to the reading records of all the users on the electronic book. Therefore, the technical effect of analyzing the reading behavior of the user through background data is achieved, the purpose of increasing the viscosity and the activity of the user is achieved, and the technical problem that the use viscosity is low due to the fact that the information of related books cannot be recommended in the reading process of the electronic books is solved.

As an alternative implementation, as shown in fig. 4, the determining module 24 may include: a first sub-determining module 241a and a first sub-acquiring module 243 a.

The first sub-determining module 241a is configured to determine, according to the historical reading number corresponding to the chapter, a reading difference between the chapters; the first sub-obtaining module 243a is configured to obtain first recommended book information according to the electronic book when the reading difference is greater than or equal to a preset first threshold.

Specifically, the reading difference of the historical reading number between each chapter can be calculated by the first sub-determining module 241a and the first sub-obtaining module 243 a. And judging the number of users lost in each chapter by reading the difference. And when the reading difference value is greater than or equal to a preset first threshold value, determining that the chapter has the risk of user loss.

As an alternative embodiment, as shown in fig. 5, the apparatus may further include: a second acquisition module 21.

The second obtaining module 21 is configured to obtain a current reading state of the electronic book, where the current reading state at least includes: a current reading chapter and a chapter to be read.

Specifically, when the electronic book is displayed through an application program or a browser for reading the electronic book, the current reading state of the electronic book may be acquired through the second acquiring module 21, so as to determine the current reading chapter and the next chapter to be read that the user is reading.

As an alternative implementation, as shown in fig. 6, the reading record includes a first historical reading number of the current reading section and a second historical reading number of the section to be read, wherein the determining module 24 may include: a sub-alignment module 241b and a second sub-acquisition module 243 b.

The sub-comparison module 241b is configured to compare a ratio between the first historical reading quantity and the second historical reading quantity with a preset second threshold; the second sub-obtaining module 243b is configured to obtain the first recommended book information when the ratio is greater than or equal to the second threshold.

Specifically, through the sub-comparing module 241b and the second sub-acquiring module 243b, a ratio between a first historical reading quantity of the current reading section and a second historical reading quantity of the section to be read can be calculated, and the ratio is compared with a preset second threshold. When the ratio is greater than or equal to the second threshold, it is indicated that the electronic book has a phenomenon that a large amount of users run off in the current reading chapter, and therefore, the first recommended book information can be acquired from the server for recommending the current user. The second threshold is used to determine the loss rate of the current reading chapter of the user, and the value thereof may be determined according to actual conditions and a calculation manner, which is not specifically limited herein.

As an alternative embodiment, as shown in fig. 7, the first insert module 26 may include: a sub-generation module 261 and a first sub-insertion module 263.

The sub-generation module 261 is configured to generate a recommendation page according to the first recommendation book information; the first sub-inserting module 263 is configured to insert the recommendation page between the current reading chapter and the chapter to be read.

Specifically, in order to improve the reading experience of the user, the first recommended book may be generated into a recommended page having the same format as the electronic book through the sub-generating module 261 and the first sub-inserting module 263, and the recommended page is inserted between the current reading chapter and the chapter to be read.

As an optional implementation manner, the second sub-obtaining module 243b may include: a third sub-fetch module 2431 and a sub-query module 2433.

The third sub-obtaining module 2431 is configured to obtain current book information of the electronic book, where the current book information at least includes: book type of the electronic book, book author of the electronic book; and the sub-query module 2433 is configured to query the server for the first recommended book information according to the book type and/or the book author.

Specifically, the third sub-obtaining module 2431 and the sub-query module 2433 may obtain book information of the current electronic book, such as a book type and a book author, and obtain book information similar to the type and content of the current electronic book as the first recommended book information according to the book information, so as to be close to the reading interest point of the user.

As an alternative embodiment, as shown in fig. 8, the apparatus may further include: a third obtaining module 201, a judging module 203 and a second inserting module 205.

The third obtaining module 201 is configured to obtain a historical reading record of a current user within a predetermined time, where the historical reading record is used to record reading data of the current user within the predetermined time; the judging module 203 is configured to judge a reading amount trend of the current user according to the historical reading record, where the reading amount trend at least includes: ascending, leveling and descending; and a second inserting module 205, configured to insert, at a second predetermined position of the electronic book, the second recommended book information acquired from the server when the reading amount trend is decreasing.

Specifically, through the third obtaining module 201, the determining module 203 and the second inserting module 205, the usage habits and usage actions of the user using the application program or the browser for reading the electronic books are further analyzed, and the reading amount trend of the user in the predetermined time is determined through the analysis. And when the reading amount trend is descending, acquiring second recommended book information for recommending to the user.

As an alternative embodiment, as shown in fig. 9, when the history reading record includes: the determining module 203 may include, when the reading time of the electronic book is read each time and the number of pages of the electronic book is read each time: a second sub determination module 2031, a third sub determination module 2033, and a fourth sub determination module 2035.

The second sub-determining module 2031 is configured to determine, according to the reading time of each reading of the electronic book, a time average change rate of the reading time; a third sub-determining module 2033 configured to determine an average change rate of the number of pages of the read pages according to the number of pages read for each reading of the electronic book; a fourth sub-determination module 2035 configured to determine that the reading amount trend is decreasing when the time average change rate is smaller than a preset third threshold and/or the page number average change rate is smaller than a preset third threshold.

Specifically, the second sub-determining module 2031, the third sub-determining module 2033, and the fourth sub-determining module 2035 may determine the reading amount trend according to the average reading time and/or the average number of pages per reading of the current user. And determining that the reading amount trend of the current user is reduced if the average reading time of the current user is shortened and the average number of pages per reading is reduced within the preset time.

As an alternative implementation, as shown in fig. 10, the second plug-in module 205 may include: a fourth sub-acquisition module 2051 and a second sub-insertion module 2053.

The fourth sub-obtaining module 2051 is configured to obtain second recommended book information from the server, where the second recommended book information is book information of a predetermined number that is the largest in reading number in the server; a second sub-insertion module 2053, configured to insert the first recommended book information into a second predetermined location.

Specifically, when the reading amount tends to decrease, it is considered that the user may decrease the amount of use of the current application or browser due to the problem of reading the content. Therefore, in order to improve the activity of the user, the fourth sub-obtaining module 2051 and the second sub-inserting module 2053 may be used to directly obtain the book information of a plurality of books with the largest sales number and/or reading number from the server, and recommend the book information of the books as the second recommended book information to the current user.

Example 3

The embodiment of the invention can provide a computer terminal which can be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced with a terminal device such as a mobile terminal.

Optionally, in this embodiment, the computer terminal may be located in at least one network device of a plurality of network devices of a computer network.

Alternatively, fig. 11 is a block diagram of a computer terminal according to an embodiment of the present invention. As shown in fig. 11, the computer terminal a may include: one or more processors 31 (only one shown), a memory 33, and a transmission device 35.

The memory 33 may be configured to store software programs and modules, such as program instructions/modules corresponding to the method for implementing the recommendation of an electronic book in the embodiment of the present invention, and the processor 31 executes various functional applications and data processing by running the software programs and modules stored in the memory 33, that is, implements the method for implementing the recommendation of an electronic book. The memory 33 may include high speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 33 may further include memory located remotely from the processor 31, which may be connected to the computer terminal a via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The above-mentioned transmission means 35 are used for receiving or transmitting data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 35 includes a network adapter (NIC) that can be connected to a router via a network cable and other network devices to communicate with the internet or a local area network. In one example, the transmission device 35 is a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

Specifically, the memory 33 is used for storing preset action conditions, information of a preset authorized user, and an application program.

The processor 31 may call the information and applications stored in the memory 33 through the transmission device to perform the following steps: acquiring reading records of the electronic books, wherein the reading records are used for recording historical reading numbers corresponding to chapters in the electronic books; determining whether first recommended book information is acquired according to the electronic books according to the historical reading number corresponding to the chapters; and under the condition that the first recommended book information is determined to be acquired according to the electronic book, inserting the first recommended book information into a first preset position of the electronic book.

Optionally, the processor 31 may further execute program codes of the following steps: determining reading difference values among the chapters according to the historical reading number corresponding to the chapters; and when the reading difference value is larger than or equal to a preset first threshold value, acquiring first recommended book information according to the electronic books.

Optionally, the processor 31 may further execute program codes of the following steps: acquiring the current reading state of the electronic book, wherein the current reading state at least comprises the following steps: a current reading chapter and a chapter to be read.

Optionally, the processor 31 may further execute program codes of the following steps: comparing the ratio of the first historical reading quantity to the second historical reading quantity with a preset second threshold value; and when the ratio is greater than or equal to a second threshold value, acquiring first recommended book information.

Optionally, the processor 31 may further execute program codes of the following steps: generating a recommendation page according to the first recommendation book information; and inserting the recommendation page between the current reading chapter and the chapter to be read.

The processor 31 may also call the information and applications stored in the memory 33 through the transmission device to perform the following steps: acquiring current book information of the electronic book, wherein the current book information at least comprises: book type of the electronic book, book author of the electronic book; and inquiring the first recommended book information in the server according to the book type and/or the book author.

Optionally, the processor 31 may further execute program codes of the following steps: acquiring a historical reading record of a current user in a preset time, wherein the historical reading record is used for recording reading data of the current user in the preset time; according to the historical reading record, judging the reading amount trend of the current user, wherein the reading amount trend at least comprises the following steps: ascending, leveling and descending; and when the reading amount trend is descending, inserting second recommended book information acquired from the server at a second preset position of the electronic book.

Optionally, the processor 31 may further execute program codes of the following steps: determining the time average change rate of the reading time according to the reading time of reading the electronic book each time; determining the average change rate of the number of the read pages according to the read pages of the electronic book at each time; and when the time average change rate is smaller than a preset third threshold value and/or the page number average change rate is smaller than a preset third threshold value, determining that the reading amount trend is reduced.

Optionally, the processor 31 may further execute program codes of the following steps: acquiring second recommended book information from the server, wherein the second recommended book information is book information with the largest reading number in the server and the preset number; and inserting the first recommended book information into a second preset position.

Optionally, the specific examples in this embodiment may refer to the examples described in embodiment 1 and embodiment 2, and this embodiment is not described herein again.

Example 4

The embodiment of the invention also provides a storage medium. Optionally, in this embodiment, an application environment of the storage medium may be the same as that in embodiments 1 and 2, and this embodiment is not described herein again.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps:

s1, obtaining reading records of the electronic books, wherein the reading records are used for recording historical reading numbers corresponding to chapters in the electronic books;

s2, determining whether to acquire first recommended book information according to the electronic books according to the historical reading number corresponding to the chapters;

s3, inserting the first recommended book information into a first predetermined position of the electronic book if it is determined that the first recommended book information is acquired from the electronic book.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: determining reading difference values among the chapters according to the historical reading number corresponding to the chapters; and when the reading difference value is larger than or equal to a preset first threshold value, acquiring first recommended book information according to the electronic books.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: acquiring the current reading state of the electronic book, wherein the current reading state at least comprises the following steps: a current reading chapter and a chapter to be read.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: comparing the ratio of the first historical reading quantity to the second historical reading quantity with a preset second threshold value; and when the ratio is greater than or equal to a second threshold value, acquiring first recommended book information.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: generating a recommendation page according to the first recommendation book information; and inserting the recommendation page between the current reading chapter and the chapter to be read.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: acquiring current book information of the electronic book, wherein the current book information at least comprises: book type of the electronic book, book author of the electronic book; and inquiring the first recommended book information in the server according to the book type and/or the book author.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: acquiring a historical reading record of a current user in a preset time, wherein the historical reading record is used for recording reading data of the current user in the preset time; according to the historical reading record, judging the reading amount trend of the current user, wherein the reading amount trend at least comprises the following steps: ascending, leveling and descending; and when the reading amount trend is descending, inserting second recommended book information acquired from the server at a second preset position of the electronic book.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: determining the time average change rate of the reading time according to the reading time of reading the electronic book each time; determining the average change rate of the number of the read pages according to the read pages of the electronic book at each time; and when the time average change rate is smaller than a preset third threshold value and/or the page number average change rate is smaller than a preset third threshold value, determining that the reading amount trend is reduced.

Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: acquiring second recommended book information from the server, wherein the second recommended book information is book information with the largest reading number in the server and the preset number; and inserting the first recommended book information into a second preset position.

Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: acquiring reading records of the electronic books, wherein the reading records are used for recording historical reading numbers corresponding to chapters in the electronic books; determining whether first recommended book information is acquired according to the electronic books according to the historical reading number corresponding to the chapters; and under the condition that the first recommended book information is determined to be acquired according to the electronic book, inserting the first recommended book information into a first preset position of the electronic book.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: determining reading difference values among the chapters according to the historical reading number corresponding to the chapters; and when the reading difference value is larger than or equal to a preset first threshold value, acquiring first recommended book information according to the electronic books.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: acquiring the current reading state of the electronic book, wherein the current reading state at least comprises the following steps: a current reading chapter and a chapter to be read.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: comparing the ratio of the first historical reading quantity to the second historical reading quantity with a preset second threshold value; and when the ratio is greater than or equal to a second threshold value, acquiring first recommended book information.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: generating a recommendation page according to the first recommendation book information; and inserting the recommendation page between the current reading chapter and the chapter to be read.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: acquiring current book information of the electronic book, wherein the current book information at least comprises: book type of the electronic book, book author of the electronic book; and inquiring the first recommended book information in the server according to the book type and/or the book author.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: acquiring a historical reading record of a current user in a preset time, wherein the historical reading record is used for recording reading data of the current user in the preset time; according to the historical reading record, judging the reading amount trend of the current user, wherein the reading amount trend at least comprises the following steps: ascending, leveling and descending; and when the reading amount trend is descending, inserting second recommended book information acquired from the server at a second preset position of the electronic book.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: determining the time average change rate of the reading time according to the reading time of reading the electronic book each time; determining the average change rate of the number of the read pages according to the read pages of the electronic book at each time; and when the time average change rate is smaller than a preset third threshold value and/or the page number average change rate is smaller than a preset third threshold value, determining that the reading amount trend is reduced.

Optionally, in this embodiment, the processor executes, according to the program code stored in the storage medium: acquiring second recommended book information from the server, wherein the second recommended book information is book information with the largest reading number in the server and the preset number; and inserting the first recommended book information into a second preset position.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing one or more computer devices (which may be personal computers, servers, network devices, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims

1. A method for recommending an electronic book, comprising:

acquiring a reading record of an electronic book, wherein the reading record is used for recording the historical reading number corresponding to chapters in the electronic book;

determining whether first recommended book information is acquired according to the electronic books according to the historical reading number corresponding to the chapters;

under the condition that the first recommended book information is determined to be obtained according to the electronic book, inserting the first recommended book information into a first preset position of the electronic book;

determining whether to acquire first recommended book information according to the electronic books according to the historical reading number, wherein the determining includes: determining reading difference values among the chapters according to the historical reading number corresponding to the chapters; and when the reading difference value is larger than or equal to a preset first threshold value, acquiring first recommended book information according to the electronic books.

2. The method of claim 1, wherein prior to obtaining a reading record of the electronic book, the method further comprises:

acquiring a current reading state of the electronic book, wherein the current reading state at least comprises: a current reading chapter and a chapter to be read.

3. The method of claim 2, wherein the reading record comprises a first historical reading number of the current reading section and a second historical reading number of the section to be read, and wherein determining whether to acquire first recommended book information from the electronic book according to the historical reading number corresponding to the section comprises:

comparing the ratio of the first historical reading quantity to the second historical reading quantity with a preset second threshold value;

and when the ratio is greater than or equal to the second threshold value, acquiring the first recommended book information.

4. The method of claim 3, wherein inserting the first recommended book information into a first predetermined location of the electronic book comprises:

generating a recommendation page according to the first recommendation book information;

inserting the recommendation page between the current reading section and the section to be read.

5. The method of claim 3, wherein when the ratio is greater than or equal to the second threshold, obtaining the first recommended book information comprises:

acquiring current book information of the electronic book, wherein the current book information at least comprises: a book type of the electronic book, a book author of the electronic book;

and inquiring the first recommended book information in a server according to the book type and/or the book author.

6. The method of claim 2, wherein prior to obtaining the current reading status of the ebook, the method further comprises:

acquiring a historical reading record of a current user in a preset time, wherein the historical reading record is used for recording reading data of the current user in the preset time;

according to the historical reading record, judging the reading amount trend of the current user, wherein the reading amount trend at least comprises the following steps: ascending, leveling and descending;

and when the reading amount trend is the decrease, inserting second recommended book information acquired from a server at a second preset position of the electronic book.

7. The method of claim 6, wherein when the historical reading record comprises: judging the reading amount trend of the current user according to the historical reading record when the reading time of the electronic book and the reading number of the electronic book are read each time, wherein the judging step comprises the following steps:

determining the time average change rate of the reading time according to the reading time of reading the electronic book each time;

determining the average change rate of the number of the read pages according to the read pages of the electronic book in each reading;

and when the time average change rate is smaller than a preset third threshold value and/or the page number average change rate is smaller than a preset third threshold value, determining the reading amount trend as the decline.

8. The method of claim 6, wherein inserting the second recommended book information obtained from the server at a second predetermined location of the electronic book comprises:

acquiring second recommended book information from the server, wherein the second recommended book information is book information with a preset number and the reading number of the book information is the largest in the server;

and inserting the first recommended book information into the second preset position.

9. An ebook recommendation device, comprising:

the electronic book reading device comprises a first acquisition module, a second acquisition module and a reading module, wherein the first acquisition module is used for acquiring reading records of an electronic book, and the reading records are used for recording historical reading quantity corresponding to chapters in the electronic book;

the determining module is used for determining whether first recommended book information is acquired according to the electronic books according to the historical reading number corresponding to the chapters;

the first inserting module is used for inserting the first recommended book information into a first preset position of the electronic book under the condition that the first recommended book information is determined to be acquired according to the electronic book;

the determining module comprises: a first sub-determination module, configured to determine, according to the historical reading number corresponding to the chapter, a reading difference between the chapters; and the first sub-acquisition module is used for acquiring first recommended book information according to the electronic books when the reading difference value is greater than or equal to a preset first threshold value.

10. The apparatus of claim 9, further comprising:

a second obtaining module, configured to obtain a current reading state of the electronic book, where the current reading state at least includes: a current reading chapter and a chapter to be read.

11. The apparatus of claim 10, wherein the reading record comprises a first historical reading number of the current reading section and a second historical reading number of the section to be read, and wherein the determining module comprises:

the sub-comparison module is used for comparing the ratio of the first historical reading quantity to the second historical reading quantity with a preset second threshold value;

and the second sub-acquisition module is used for acquiring the first recommended book information when the ratio is greater than or equal to the second threshold.

12. The apparatus of claim 11, wherein the first insertion module comprises:

the sub-generation module is used for generating a recommendation page according to the first recommendation book information;

the first sub-inserting module is used for inserting the recommendation page between the current reading chapter and the to-be-read chapter.

13. The apparatus of claim 11, wherein the second sub-acquisition module comprises:

a third sub-obtaining module, configured to obtain current book information of the electronic book, where the current book information at least includes: a book type of the electronic book, a book author of the electronic book;

and the sub-query module is used for querying the first recommended book information in the server according to the book type and/or the book author.

14. The apparatus of claim 10, further comprising:

the third acquisition module is used for acquiring a historical reading record of a current user within a preset time, wherein the historical reading record is used for recording reading data of the current user within the preset time;

a judging module, configured to judge, according to the historical reading record, a reading amount trend of the current user, where the reading amount trend at least includes: ascending, leveling and descending;

and the second inserting module is used for inserting and acquiring second recommended book information from the server at a second preset position of the electronic book when the reading amount trend is the decline.

15. The apparatus of claim 14, wherein when the historical reading record comprises: the judging module includes, for each reading of the reading time of the electronic book and for each reading of the number of pages of the electronic book:

a second sub-determining module, configured to determine, according to the reading time of reading the electronic book each time, a time-average change rate of the reading time;

a third sub-determining module, configured to determine, according to the read pages of the electronic book each time, an average change rate of the read pages;

and the fourth sub-determination module is used for determining that the reading amount trend is the decline when the time average change rate is smaller than a preset third threshold and/or the page number average change rate is smaller than a preset third threshold.

16. The apparatus of claim 14, wherein the second insertion module comprises:

a fourth sub-obtaining module, configured to obtain the second recommended book information from the server, where the second recommended book information is book information of a predetermined number that is the largest in reading number in the server;

and the second sub-inserting module is used for inserting the first recommended book information into the second preset position.

17. A storage medium comprising a stored program, wherein the program when executed performs the method of any of claims 1 to 8.

18. A computer terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor executes the method of any of claims 1 to 8 by means of the computer program.