CN109739974B

CN109739974B - Recommendation information acquisition method and device and storage medium

Info

Publication number: CN109739974B
Application number: CN201811642559.9A
Authority: CN
Inventors: 刘养亭; 佘志强
Original assignee: MIGU Digital Media Co Ltd; MIGU Culture Technology Co Ltd
Current assignee: MIGU Digital Media Co Ltd; MIGU Culture Technology Co Ltd
Priority date: 2018-12-29
Filing date: 2018-12-29
Publication date: 2021-11-02
Anticipated expiration: 2038-12-29
Also published as: CN109739974A

Abstract

The embodiment of the invention discloses a recommendation information acquisition method, a recommendation information acquisition device and a storage medium, wherein the method comprises the following steps: counting historical reading data generated by historical marking operation on at least one electronic text; the historical reading data comprises marked content information corresponding to the historical marking operation; determining paragraph information corresponding to each electronic text in the at least one electronic text according to the mark content information to obtain at least one paragraph information; when a target paragraph request of a terminal to any one of the at least one electronic text is received, determining target paragraph information corresponding to the target paragraph request from the at least one paragraph information; and pushing the target paragraph information to the terminal.

Description

Recommendation information acquisition method and device and storage medium

Technical Field

The present invention relates to information processing technologies, and in particular, to a method and an apparatus for acquiring recommended information, and a storage medium.

Background

At present, a user often reads an electronic book according to chapters, if the user wants to know which chapters are more wonderful, the user needs to go to the internet to look up historical comment information of other users for wonderful paragraphs of the relevant chapters, then one chapter or an adjacent chapter in the relevant chapters is browsed according to an electronic book directory, and the wonderful paragraph of the other chapter is looked up in the chapter or the adjacent chapter, so that the time is consumed for looking up, and if the user needs to continuously look up wonderful paragraphs of the other chapters in the relevant chapter, the user needs to browse other chapters according to the electronic book directory again to look up wonderful paragraphs of the other chapters, that is, when the user obtains wonderful paragraphs in the historical comment information in the prior art, the user needs to go to the internet to look up first, look up the directory and then look up page by page, and cannot obtain wonderful paragraphs quickly.

Disclosure of Invention

The invention mainly aims to provide a recommendation information acquisition method, a recommendation information acquisition device and a storage medium, which can quickly acquire recommendation information.

The technical scheme of the invention is realized as follows:

the embodiment of the invention provides a recommendation information acquisition method, which comprises the following steps:

counting historical reading data generated by historical marking operation on at least one electronic text; the historical reading data comprises marked content information corresponding to the historical marking operation;

determining paragraph information corresponding to each electronic text in the at least one electronic text according to the mark content information to obtain at least one paragraph information;

when a target paragraph request of a terminal to any one of the at least one electronic text is received, determining target paragraph information corresponding to the target paragraph request from the at least one paragraph information;

and pushing the target paragraph information to the terminal.

In the above scheme, the marked content information includes text content marked by history and electronic text identification information corresponding to the text content;

determining paragraph information corresponding to each electronic text in the at least one electronic text according to the mark content information, including:

determining sub-text content corresponding to each electronic text from the text content according to the electronic text identification information;

and determining the paragraph information according to the subfile content.

In the above scheme, the historical reading data further includes user information corresponding to the historical marking operation;

after the determining, according to the markup content information, paragraph information corresponding to each electronic text in the at least one electronic text to obtain at least one paragraph information, and before determining, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request, the method further includes:

determining paragraph category information of each paragraph in the at least one paragraph information according to the markup content information and/or the user information.

In the foregoing solution, when the target paragraph request includes the target category information, the determining, from the at least one paragraph information, the target paragraph information corresponding to the target paragraph request includes:

determining paragraph information of which the paragraph category information is matched with the target category information from the at least one paragraph information;

and taking the determined paragraph information as the target paragraph information.

In the above solution, after the determining, according to the mark content information, paragraph information corresponding to each electronic text in the at least one electronic text to obtain at least one paragraph information, and before determining, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request, the method further includes:

acquiring an operation type corresponding to the history marking operation;

counting the execution times of each operation type corresponding to each paragraph in the paragraph information according to the operation types;

and sequencing the execution times of the same operation type of the paragraphs in the paragraph information according to the execution times of each operation type corresponding to each paragraph, determining the paragraph sequencing information corresponding to the paragraph information, and obtaining at least one paragraph sequencing information corresponding to the at least one paragraph information.

In the above solution, the determining, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request includes:

determining the target paragraph information from the at least one paragraph information according to the at least one paragraph ordering information.

generating a target paragraph request when a selected instruction of any one electronic text in at least one electronic text is received on a current reading interface;

sending the target paragraph request to a server;

and receiving target paragraph information fed back by the server according to the target paragraph request, wherein the target paragraph information is a recommended paragraph corresponding to the any one electronic text.

In the foregoing solution, the generating a target paragraph request includes:

pop-up paragraph information options;

and when a trigger instruction on the paragraph information option is received, generating the target paragraph request according to the trigger instruction.

In the foregoing solution, the generating a target paragraph request includes:

responding to the selected instruction, and acquiring current electronic text identification information and/or current user information corresponding to any one electronic text;

determining a target paragraph category according to the current electronic text identification information and/or the current user information;

and generating the target paragraph request according to the target paragraph category.

An embodiment of the present invention provides a server, where the server includes: the device comprises an acquisition unit, a paragraph generation unit, a determination unit and a first sending unit; wherein the content of the first and second substances,

the acquisition unit is used for counting historical reading data generated by performing historical marking operation on at least one electronic text; the historical reading data comprises marked content information corresponding to the historical marking operation;

the paragraph generating unit is used for determining paragraph information corresponding to each electronic text in the at least one electronic text according to the mark content information to obtain at least one paragraph information;

a determining unit, configured to, when a target paragraph request of a terminal to any one of the at least one electronic text is received, determine, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request;

and the sending unit is used for pushing the target paragraph information to the terminal.

the paragraph generating unit is specifically configured to determine, according to the electronic text identification information, sub-text content corresponding to each electronic text from the text content; and determining the paragraph information according to the subfile content.

the paragraph generating unit is further configured to determine paragraph category information of each paragraph in the at least one paragraph information according to the markup content information and/or the user information after determining the paragraph information corresponding to each electronic text in the at least one electronic text according to the markup content information to obtain the at least one paragraph information and before determining the target paragraph information corresponding to the target paragraph request from the at least one paragraph information.

In the foregoing solution, when the target paragraph request includes target category information, the determining unit is specifically configured to determine, from the at least one paragraph information, paragraph information whose paragraph category information matches the target category information; and taking the determined paragraph information as the target paragraph information.

In the foregoing solution, the paragraph generating unit is further configured to, after determining, according to the mark content information, paragraph information corresponding to each electronic text in the at least one electronic text to obtain at least one paragraph information, and before determining, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request, obtain an operation type corresponding to the history mark operation; counting the execution times of each operation type corresponding to each paragraph in the paragraph information according to the operation types; and sequencing the execution times of the same operation types of the paragraphs in the paragraph information according to the execution times of each operation type corresponding to each paragraph, determining the paragraph sequencing information corresponding to the paragraph information, and obtaining at least one paragraph sequencing information corresponding to the at least one paragraph information.

In the foregoing solution, the determining unit is specifically configured to determine the target paragraph information from the at least one paragraph information according to the at least one paragraph ordering information.

An embodiment of the present invention further provides a server, where the server includes: the information acquisition system comprises a first processor, a first memory and a first communication bus, wherein the first memory is communicated with the first processor through the first communication bus, the first memory stores one or more programs executable by the first processor, and when the one or more programs are executed, the steps of the recommendation information acquisition method are executed through the first processor.

An embodiment of the present invention provides a terminal, where the terminal includes: a paragraph request unit, a second sending unit and a receiving unit; wherein the content of the first and second substances,

the paragraph request unit is used for generating a target paragraph request when a selected instruction of any one electronic text in at least one electronic text is received on the current reading interface;

the second sending unit is used for sending the target paragraph request to a server;

the receiving unit is configured to receive target paragraph information that is requested to be fed back by the server for the target paragraph, where the target paragraph information is a recommended paragraph corresponding to the arbitrary electronic text.

In the above solution, the paragraph requesting unit is specifically configured to pop up a paragraph information option; and when a trigger instruction on the paragraph information option is received, generating the target paragraph request according to the trigger instruction.

In the foregoing solution, the paragraph requesting unit is specifically configured to respond to the selected instruction, and obtain current electronic text identification information and/or current user information corresponding to the any one electronic text; determining the type of a target paragraph according to the current electronic text identification information and/or the current user information; and generating the target paragraph request according to the target paragraph category.

An embodiment of the present invention further provides a terminal, where the terminal includes: the information acquisition system comprises a second processor, a second memory and a second communication bus, wherein the second memory is communicated with the second processor through the second communication bus, the second memory stores one or more programs executable by the second processor, and when the one or more programs are executed, the steps of the recommendation information acquisition method are executed through the second processor.

The embodiment of the invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a program, the program is applied to a server, and when the program is executed by a first processor, the program realizes the steps of any one of the recommendation information acquisition methods; or, the method is applied to a terminal, and the program is executed by a second processor to implement the steps of any one of the recommendation information acquisition methods.

The embodiment of the invention provides a recommendation information acquisition method, a recommendation information acquisition device and a storage medium, and the method comprises the following steps of firstly, counting historical reading data generated by historical marking operation on at least one electronic text; the historical reading data comprises marked content information corresponding to the historical marking operation; then, according to the mark content information, determining paragraph information corresponding to each electronic text in the at least one electronic text to obtain at least one paragraph information; secondly, when a target paragraph request of a terminal to any one of the at least one electronic text is received, determining target paragraph information corresponding to the target paragraph request from the at least one paragraph information; and finally, pushing the target paragraph information to the terminal. By adopting the technical scheme, the historical reading data generated by the historical marking operation is classified to obtain the paragraph information corresponding to each electronic text, and when the target paragraph request is received, the target paragraph information can be directly determined from the paragraph information corresponding to the classified electronic text, so that the recommendation information can be quickly obtained.

Drawings

Fig. 1 is a schematic structural diagram of a recommendation information acquisition apparatus according to an embodiment of the present invention;

fig. 2 is a first flowchart of a recommendation information acquisition method according to an embodiment of the present invention;

fig. 3 is a flowchart of a method for acquiring recommendation information according to an embodiment of the present invention;

fig. 4(a) is a first schematic view of a terminal reading interface according to an embodiment of the present invention;

fig. 4(b) is a schematic view of a terminal reading interface according to an embodiment of the present invention;

fig. 4(c) is a schematic view of a terminal reading interface provided in the embodiment of the present invention;

fig. 5 is a flowchart three of a method for acquiring recommendation information according to an embodiment of the present invention;

fig. 6 is a first schematic structural diagram of a server according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a server according to an embodiment of the present invention;

fig. 8 is a first schematic structural diagram of a terminal according to an embodiment of the present invention;

fig. 9 is a schematic structural diagram of a terminal according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.

As shown in fig. 1, which is a schematic structural diagram of a recommendation information acquisition apparatus for implementing various embodiments of the present invention, the apparatus 1 may include: a server 10 and a terminal 11; the server 10 may store data files of the application programs, user data of the application programs, and the like, and may also broadcast and synchronize the user data; when the terminal 11 runs the application program, it performs data interaction with the server 10, and may download a data file of the application program from the server 10 through a network, and may also upload user data generated by a user operating the application program to the server 10, where the terminal 11 may be implemented in various forms, for example, may be a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palm computer, or a fixed terminal such as a desktop computer; the application program includes a reading-class application program.

Those skilled in the art will appreciate that the configuration of the recommendation information acquisition device shown in fig. 1 does not constitute a limitation of the recommendation information acquisition device, and the recommendation information acquisition device may include more or less components than those shown, or combine some components, or arrange different components.

It should be noted that the embodiment of the present invention can be implemented based on the recommendation information obtaining apparatus shown in fig. 1.

Example one

An embodiment of the present invention provides a recommendation information obtaining method, which is applied to a server, and as shown in fig. 2, the method includes:

s201: counting historical reading data generated by historical marking operation on at least one electronic text; the historical reading data includes tag content information corresponding to the historical tagging operation.

The method comprises the steps that a user opens an application program through a terminal, the application program can be a reading application program, the user browses an electronic text in the application program, marked content information is generated after the user marks the text content of the electronic text in the browsing process, a server obtains reading data comprising the marked content information from the terminal, and further the server can count historical reading data generated by historical marking operation according to a preset collection rule to generate or update recommendation information; the text content of the electronic text comprises paragraph information of the electronic book.

In some embodiments, the preset acquisition rules include at least one of: temporary data storage, data analysis and processing, data summarization, report forms and the like.

Illustratively, the server counting the historical reading data according to the preset collection rule comprises the following steps: after a user marks the text content of the electronic text, the server receives historical reading data from the terminal and stores the historical reading data historically; when the current moment is a preset reporting moment, analyzing and processing historical reading data ending to the current moment; and summarizing the analyzed and processed historical reading data to generate a report and storing the report.

In some embodiments, the operation types corresponding to the marking operation include a note marking operation, a comment marking operation, a line drawing operation, a copying operation, a tag adding operation, a content sharing operation, a comment operation and the like, wherein the note marking operation includes a private note marking operation and a public note marking operation, and the comment operation includes a comment operation for text content of the electronic text, a comment operation for a public note, a comment operation for a comment and the like.

In some embodiments, the tagged content information includes historically-tagged text content and electronic text identification information corresponding to the text content.

Illustratively, after the user performs a marking operation on the text content of the electronic text, the terminal may acquire the text content marked by the history and electronic text identification information corresponding to the text content, where the electronic text identification information includes: an electronic text identifier (e.g., a book name), a chapter identifier of a chapter where the text content is located, position information of the text content in the chapter, and an operation type of this marking operation; the server acquires historical reading data from the terminal, wherein the historical reading data comprises the text content marked by the history and the electronic text identification information.

In some embodiments, the historical reading data further includes user information corresponding to the historical tagging operations.

Exemplarily, after the user performs marking operation on the text content of the electronic text, the historical reading data acquired by the server may further include user information corresponding to the historical marking operation; the process of acquiring the user information comprises the following steps: the terminal detects that the user starts the reading application program or detects that the user marks the text content of the electronic text, a user information filling box is displayed, user information is collected by the user information filling box, the user information comprises the gender and the age of the user, and the server obtains historical reading data consisting of the text content, electronic text identification information and the user information from the terminal.

Illustratively, when the terminal detects that the user starts the reading application program in a login state and whether the user logs in for the first time, a user information filling frame is displayed on a reading application program interface, the user information filling frame is used for collecting user information, and then the server acquires the user information and a user login identifier from the terminal and correspondingly stores the user information and the user login identifier; and the server acquires the historical reading data and the user login identification from the terminal, and when the user login identification is acquired, the server searches the corresponding user information by using the user login identification and stores the user information in the historical reading data.

S202: and determining paragraph information corresponding to each electronic text in at least one electronic text according to the mark content information to obtain at least one paragraph information.

After the server acquires the historical reading data of at least one electronic text, classifying the historical reading data of the at least one electronic text to obtain paragraph information corresponding to each electronic text, and obtaining at least one paragraph information composed of the paragraph information corresponding to the at least one electronic text, and further determining recommendation information from the at least one paragraph information, wherein the recommendation information can be highlight paragraph information.

In some embodiments, the marked content information includes the text content marked by the history and electronic text identification information corresponding to the text content; the server determines subfile content corresponding to each electronic text from the text content according to the electronic text identification information; paragraph information is determined from the sub-text content.

Illustratively, the marked content information acquired by the server comprises an electronic text identifier, the electronic text identifier information comprises the electronic text identifier, and the server firstly determines the text content of the same electronic text identifier as the sub-text content of one electronic text by using the electronic text identifier; then, paragraph information generated by each history marking operation in the sub-text content can be determined, and each paragraph in the paragraph information can be text content corresponding to one paragraph or text content corresponding to a plurality of paragraphs; or, the sub-text content may be divided according to paragraphs, and each paragraph in the obtained paragraph information may be a text content corresponding to one paragraph.

In some embodiments, the historical reading data further includes user information corresponding to the historical marking operations; the server determines paragraph category information of each paragraph in the at least one paragraph information according to the mark content information and/or the user information.

Exemplarily, the server classifies each paragraph in the paragraph information corresponding to each electronic text according to the mark content information and/or the user information according to a preset category classification rule to obtain the paragraph category information of each paragraph in the paragraph information corresponding to each electronic text, and further obtain the paragraph category information of each paragraph in china of at least one paragraph information corresponding to at least one electronic text; wherein the preset category partition rule comprises at least one of: classification by character, classification by the number of operations of the marking operation, classification by age group, classification by gender, and the like.

Illustratively, when the preset classification rule is classification according to the characters, the server determines, for each electronic text, a character corresponding to each paragraph according to the text content marked by history in the marked content information, specifically, according to the text content of each paragraph in the paragraph information corresponding to each electronic text, where the character includes a hero, a hero or other specific characters, takes the character corresponding to each paragraph as the paragraph classification information, and stores the paragraph classification information in correspondence with each paragraph.

Illustratively, when the preset classification rule is classified according to the operation times of the marking operation, the server determines, for each electronic text, a paragraph with the largest occurrence number in paragraph information corresponding to each electronic text according to the operation type of the marking operation in the marking content information, specifically, according to the occurrence number of the marking operation of the same operation type corresponding to each paragraph, takes the largest occurrence number of the marking operation of the same operation type as the paragraph classification information of the paragraph, and stores the paragraph classification information in correspondence with each paragraph.

Illustratively, when the preset classification rule is classification according to age groups, the server determines, for each electronic text, a user age group corresponding to each paragraph according to the user age groups in the user information, takes the user age group corresponding to each paragraph as paragraph classification information, and stores the paragraph classification information in correspondence with each paragraph.

In some embodiments, the server obtains an operation category corresponding to the history marking operation; counting the execution times of each operation type corresponding to each paragraph in the paragraph information according to the operation type; and sequencing the execution times of the same operation types of the paragraphs in the paragraph information according to the execution times of each operation type corresponding to each paragraph, determining paragraph sequencing information corresponding to the paragraph information, and obtaining at least one paragraph sequencing information corresponding to at least one paragraph information.

Illustratively, the server determines paragraph information corresponding to each electronic text according to the mark content information, obtains an operation type of a historical mark operation corresponding to each electronic text from the mark content information, and counts the execution times of each operation type corresponding to each paragraph in the paragraph information; calculating the number of times of executing the same operation type corresponding to each paragraph, where the number of times of executing the same operation type may be the number of times of executing at least one operation type, for example, the number of times of executing a praise operation or the number of times of executing a label note; sequencing all paragraphs in the paragraph information according to the execution times of the same operation type to obtain paragraph sequencing information corresponding to the paragraph information; and then obtaining at least one paragraph ordering information composed of paragraph ordering information corresponding to at least one electronic text, and correspondingly storing the paragraph information and the paragraph ordering information corresponding to the paragraph ordering information.

Illustratively, sorting all paragraphs in the paragraph information according to the number of times of execution of the same operation type includes: and according to the statistical time length and the execution times of the same operation type, calculating the execution times of the same operation type in unit time, and sequencing all paragraphs in the paragraph information.

Illustratively, after obtaining paragraph ordering information corresponding to the paragraph information, the method further includes: and manually adjusting the paragraph ordering information to obtain updated paragraph ordering information, and further obtaining at least one paragraph ordering information consisting of the updated paragraph ordering information corresponding to at least one electronic text.

In some embodiments, the server obtains paragraph category information of each paragraph in the paragraph information corresponding to each electronic text, and execution of each operation category corresponding to each paragraph in the paragraph information; determining each paragraph information with the same paragraph type information from the paragraph information according to each paragraph type information; and sequencing the execution times of the same operation type of each paragraph in each type of paragraph information according to the execution times of each operation type corresponding to each paragraph, and determining paragraph sequencing information corresponding to the paragraph information.

S203: when a target paragraph request of a terminal to any one of at least one electronic text is received, determining target paragraph information corresponding to the target paragraph request from at least one paragraph information.

When a user browses any electronic text in an application program, a target paragraph request can be initiated through a paragraph information option on a terminal, and after receiving the target paragraph request from the terminal, a server determines target paragraph information from at least one paragraph information.

For example, when a user browses an electronic book in an application program, and wants to see a scenario of a protagonist or a specific person, a protagonist option or a specific person option in the paragraph information options can be selected on the terminal, and the terminal generates a target paragraph request representing the protagonist or the specific person; or, when the user selects an electronic book in the application program, the user wants to see all the highlight paragraph information in the electronic book, and can select the highlight paragraph option in the paragraph request selection on the terminal, and the terminal represents the target paragraph request of the highlight paragraph.

It should be noted that the target paragraph request may also be generated by the terminal according to the current browsing behavior of the user for an electronic book, and may include: the method comprises the steps that a terminal obtains the current browsing position of a user for an electronic book, when a chapter corresponding to the current browsing position is the last chapter, the terminal generates a target paragraph request for representing the book category of the electronic book, correspondingly, a server determines other electronic books belonging to the book category from at least one electronic book according to the book category of the electronic book, and determines target paragraph information from paragraph information corresponding to the other electronic books; when the chapter corresponding to the current browsing position is an intermediate chapter, the terminal generates a target paragraph request for representing the chapter mark of the chapter, and correspondingly, the server determines paragraphs corresponding to other chapters after the chapter from the paragraph information corresponding to the electronic book according to the chapter mark and uses the paragraphs as target paragraph information.

It should be noted that the target paragraph request may also be a target paragraph request representing a requested hot book generated by the terminal, and correspondingly, the server determines the hot book from at least one electronic book and determines the target paragraph information from the paragraph information corresponding to the hot book.

In some embodiments, the server determines paragraph information from the at least one paragraph information, the paragraph category information matching the target category information; and taking the determined paragraph information as target paragraph information.

Illustratively, when the server determines that the target paragraph request includes the target category information, it first determines, according to the electronic text identifier of the any one electronic text, current paragraph information corresponding to the any one electronic text from at least one paragraph information, and then determines, by using the target category information, paragraphs of which the paragraph category information is the same as the target type information from all paragraphs of the current paragraph information, and uses the determined paragraph information as the target paragraph information.

In some embodiments, the server determines the target paragraph information from the at least one paragraph information based on the at least one paragraph ordering information.

Illustratively, the server determining target paragraph information corresponding to the target paragraph request may include: when the paragraph sorting information represents sorting information generated by sorting the execution times of the same operation type from large to small, the server may determine, as the target paragraph information, the paragraph information whose paragraph sorting information is located m-th from the top according to at least one paragraph sorting information corresponding to the at least one paragraph information.

S204: and pushing the target paragraph information to the terminal.

The server sends the target paragraph information to the terminal so that the terminal can display the target paragraph information to the user.

It can be understood that the server classifies the history reading data generated by the history marking operation to obtain paragraph information corresponding to each electronic text, and when a target paragraph request is received, the server can directly determine the target paragraph information from the paragraph information corresponding to the classified electronic text, thereby realizing rapid acquisition of recommendation information.

Example two

In order to further embody the purpose of the present invention, further illustration is made on the basis of the foregoing method embodiment.

The embodiment of the invention provides a recommendation information acquisition method, which is applied to a terminal, and as shown in fig. 3, the method comprises the following steps:

s301: and generating a target paragraph request when a selected instruction of any one of the at least one electronic text is received in the current reading interface.

The recommendation information acquisition device can be a terminal in the system 1, the terminal can run an application program, the application program can be a reading application program, the terminal is provided with a paragraph information option on a reading interface of the application program, and the terminal acquires a target paragraph category according with the reading preference of a user through the paragraph information option; or the terminal can also set a user information filling frame on the application program interface, collect the user information through the user information filling frame, and determine the category of the target paragraph according with the reading preference of the user according to the user information; and the terminal generates a target paragraph request according to the target paragraph category and sends the target paragraph request to the server.

It should be noted that, the acquiring, by the terminal, the paragraph information option from the server includes: when a user selects an electronic text in an application program, the terminal sends an electronic text identifier of the electronic text to the server, and receives a data file related to paragraph information options from the server; or receiving the data packet of the electronic text from the server, and storing the data file in the data packet of the electronic text by the server.

In some embodiments, when a user opens an application program on a terminal, and selects one electronic text in the application program, the terminal receives a selected instruction of the electronic text, displays a reading interface of the electronic text, and when the user can perform history marking operation on text content of the electronic text, the terminal obtains history reading data generated by the history marking operation and sends the history reading data to a server, so that the server generates at least one paragraph message according to the history reading data.

Exemplarily, after the user performs marking operation on the text content of the electronic text, the historical reading data acquired by the server may further include user information corresponding to the historical marking operation; the process of acquiring the user information comprises the following steps: when the terminal detects that the user starts the reading application program or detects that the user marks the text content of the electronic text, a user information filling box is displayed, user information is collected by the user information filling box, the user information comprises the gender and the age of the user, and the terminal generates historical reading data consisting of the text content, electronic text identification information and the user information.

Illustratively, the process of acquiring the user information may further include: when the terminal detects that a user starts the reading application program in a login state and whether the user logs in for the first time or not, a user information filling frame is displayed on a reading application program interface, user information is collected by using the user information filling frame, user information and a user login identifier are sent to a server, and the server correspondingly stores the user information and the user login identifier; furthermore, after the terminal sends the historical reading data and the user login identification to the server, the server can retrieve the corresponding user information by using the user login identification, and store the user information in the historical reading data.

In some embodiments, the terminal pops up a paragraph information option; and when a trigger instruction on the paragraph information option is received, generating a target paragraph request according to the trigger instruction.

Illustratively, when a terminal receives a currently selected instruction of an electronic text, a current reading interface of the electronic text is displayed, when a user sends an acquisition instruction of paragraph information options on the current reading interface through touch operation, the terminal pops up the paragraph information options on the current reading interface, the paragraph information options comprise at least one paragraph category information, and the user can select a target paragraph category which meets personal reading preference from the paragraph information options, send a target paragraph request to a server and respond; the paragraph category information includes a hero paragraph, a specific character paragraph, and the like.

In some embodiments, the terminal responds to the selected instruction to acquire the current electronic text identification information and/or the current user information corresponding to any one electronic text; determining the category of the target paragraph according to the current electronic text identification information and/or the current user information; and generating a target paragraph request according to the target paragraph category.

For example, after a user selects an electronic text in an application program, the terminal may obtain an electronic text identifier corresponding to the electronic text, and use the electronic text identifier as current electronic text identifier information; the terminal may further obtain, according to a current browsing behavior of a user for an electronic book, current electronic text identification information, which specifically includes: the method comprises the steps that a terminal obtains the current browsing position of a user for an electronic book, when a chapter corresponding to the current browsing position is the last chapter, the terminal obtains the book type of the electronic book, and the book type is used as current electronic text identification information; and when the chapter corresponding to the current browsing position is the middle chapter, the terminal acquires the chapter mark of the chapter and takes the chapter mark as the current electronic text mark information.

It should be noted that, generating the target paragraph request may further include: and responding to the selected instruction, and generating target paragraph information representing the book requiring hot book by the terminal.

S302: the target paragraph request is sent to the server.

The terminal sends the target paragraph request to the server so that the server returns the target paragraph information.

S303: and receiving target paragraph information fed back by the server according to the target paragraph request, wherein the target paragraph information is a recommended paragraph corresponding to any one electronic text.

And the terminal receives the target paragraph information from the server and displays the target paragraph information on the current reading interface.

Illustratively, when the terminal receives a currently selected instruction of a chapter of an electronic text, the chapter content 42 of the chapter is displayed on the current reading interface 41, as shown in fig. 4(a), and when the user issues an acquisition instruction of the paragraph information option 43, the terminal pops up the paragraph information option 43 on the current reading interface 41, as shown in fig. 4(b), the paragraph information option 43 includes at least one paragraph category information, the user can select a target paragraph category meeting personal reading preferences from the paragraph information option 43, and send a target paragraph request to the server, receive the target paragraph information 44 from the server, and display the target paragraph information on the current reading interface 41, as shown in fig. 4 (c); wherein the at least one paragraph category information may include a hero paragraph 431 and a specific character paragraph 432; the paragraph information option may further include a complete chapter option 433, and when the current reading interface 41 displays the target paragraph information 44, the user selects the complete chapter option 433, and the terminal re-displays the chapter contents 42 of the chapter on the current reading interface 41, as shown in fig. 4 (a).

It can be understood that the terminal generates a target paragraph request representing the reading preference of the user, sends the target paragraph request to the server, receives the target paragraph information corresponding to the target paragraph request from the server, and the target paragraph request can represent the reading preference of the user, so that the target paragraph information corresponding to the target paragraph request is also the paragraph information conforming to the reading preference of the user, and thus, the satisfaction degree of the user on the recommendation information is improved.

EXAMPLE III

An embodiment of the present invention provides a recommendation information obtaining method, as shown in fig. 5, the method includes:

s501: the terminal sends historical reading data generated by historical marking operation on at least one electronic text to the server;

the method comprises the steps that a user opens an application program on a terminal, when the user selects one electronic text in the application program, the terminal receives a selection instruction of the electronic text and displays a reading interface of the electronic text, and when the user can conduct history marking operation on the text content of the electronic text, the terminal obtains history reading data generated by the history marking operation and sends the history reading data to a server.

S502: the server counts historical reading data generated by historical marking operation on at least one electronic text; the historical reading data comprises mark content information corresponding to the historical marking operation;

s503: the server determines paragraph information corresponding to each electronic text in at least one electronic text according to the marked content information to obtain at least one paragraph information;

s504: in the current reading interface, when a selected instruction of any one electronic text in at least one electronic text is received, a terminal generates a target paragraph request;

s505: the terminal sends the target paragraph request to the server;

s506: when a target paragraph request of a terminal for any one of at least one electronic text is received, the server determines target paragraph information corresponding to the target paragraph request from at least one paragraph information;

s507: and the server pushes the target paragraph information to the terminal.

S508: and the terminal receives target paragraph information fed back by the server according to the target paragraph request, wherein the target paragraph information is a recommended paragraph corresponding to any one electronic text.

In the embodiment of the present invention, the descriptions of the implementation processes of S502-S503 and S506-S507 are consistent with the descriptions of the implementation processes of S201-S204 in the first embodiment, and the descriptions of the implementation processes of S504-S505 and S508 are consistent with the descriptions of the implementation processes of S301-S303 in the second embodiment, and are not described again here.

It can be understood that the server in the recommendation information acquisition device classifies historical reading data generated by the historical marking operation to obtain paragraph information corresponding to each electronic text, and when a target paragraph request is received from the terminal, the server can directly determine the target paragraph information from the paragraph information corresponding to the electronic text obtained by classification, so that the recommendation information can be quickly acquired.

Example four

The further description will be made based on the same inventive concept of the first embodiment.

An embodiment of the present invention provides a server 6, as shown in fig. 6, where the server 6 includes: an acquisition unit 61, a paragraph generation unit 62, a determination unit 63, and a first transmission unit 64; wherein the content of the first and second substances,

the acquisition unit 61 is used for counting historical reading data generated by performing historical marking operation on at least one electronic text; the historical reading data comprises marked content information corresponding to the historical marking operation;

a paragraph generating unit 62, configured to determine, according to the mark content information, paragraph information corresponding to each electronic text in the at least one electronic text, so as to obtain at least one paragraph information;

a determining unit 63, configured to, when a target paragraph request of a terminal to any one of the at least one electronic text is received, determine, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request;

In some embodiments, the marked content information includes text content marked by history and electronic text identification information corresponding to the text content;

the paragraph generating unit 62 is specifically configured to determine, according to the electronic text identification information, sub-text content corresponding to each electronic text from the text content; and determining the paragraph information according to the subfile content.

In some embodiments, the historical reading data further comprises user information corresponding to the historical marking operations;

the paragraph generating unit 62 is further configured to determine paragraph category information of each paragraph in the at least one paragraph information according to the markup content information and/or the user information after determining the paragraph information corresponding to each electronic text in the at least one electronic text according to the markup content information to obtain the at least one paragraph information and before determining the target paragraph information corresponding to the target paragraph request from the at least one paragraph information.

In some embodiments, when the target paragraph request includes target category information, the determining unit 63 is specifically configured to determine, from the at least one paragraph information, paragraph information whose paragraph category information matches the target category information; and taking the determined paragraph information as the target paragraph information.

In some embodiments, the paragraph generating unit 62 is further configured to, after determining, according to the tagged content information, paragraph information corresponding to each electronic text in the at least one electronic text to obtain at least one paragraph information, and before determining, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request, obtain an operation type corresponding to the history tagging operation; counting the execution times of each operation type corresponding to each paragraph in the paragraph information according to the operation types; and sequencing the execution times of the same operation types of the paragraphs in the paragraph information according to the execution times of each operation type corresponding to each paragraph, determining the paragraph sequencing information corresponding to the paragraph information, and obtaining at least one paragraph sequencing information corresponding to the at least one paragraph information.

In some embodiments, the determining unit 63 is specifically configured to determine the target paragraph information from the at least one paragraph information according to the at least one paragraph ordering information.

In practical applications, the obtaining Unit 61, the paragraph generating Unit 62, the determining Unit 63, and the first sending Unit 64 may be implemented by a first processor 65 located on the server 6, specifically implemented by a Central Processing Unit (CPU), an MPU (Microprocessor Unit), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like.

An embodiment of the present invention further provides a server 6, and as shown in fig. 7, the server 6 includes: a first processor 65, a first memory 66 and a first communication bus 67, wherein the first memory 66 communicates with the first processor 65 through the first communication bus 67, the first memory 66 stores one or more programs executable by the first processor 65, and when the one or more programs are executed, the first processor 65 executes any one of the recommendation information acquisition methods according to the first embodiment.

In practical applications, the first Memory 66 may be a volatile first Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile first Memory (non-volatile Memory), such as a Read-Only first Memory (ROM), a flash Memory (flash Memory), a Hard Disk Drive (HDD) or a Solid-State Drive (SSD); or a combination of first memories of the above kind and provides programs and data to the first processor 65.

An embodiment of the present invention provides a computer-readable storage medium, which stores a program, and is applied to a server, where the program is executed by a first processor 65 to implement any one of the recommendation information acquisition methods according to the first embodiment.

EXAMPLE five

The following further explains the same inventive concept of the second embodiment.

An embodiment of the present invention provides a terminal 7, as shown in fig. 8, where the terminal 7 includes: a paragraph requesting unit 71, a second transmitting unit 72, and a receiving unit 73; wherein the content of the first and second substances,

the paragraph requesting unit 71 is configured to generate a target paragraph request on the current reading interface when a selected instruction of any one of the at least one electronic text is received;

the second sending unit 72 is configured to send the target paragraph request to a server;

the receiving unit 73 is configured to receive target paragraph information that is requested to be fed back by the server for the target paragraph, where the target paragraph information is a recommended paragraph corresponding to the arbitrary electronic text.

In some embodiments, the paragraph requesting unit 71 is specifically configured to pop up a paragraph information option; and when a trigger instruction on the paragraph information option is received, generating the target paragraph request according to the trigger instruction.

In some embodiments, the paragraph requesting unit 71 is specifically configured to, in response to the selected instruction, obtain current electronic text identification information and/or current user information corresponding to the any one electronic text; determining the type of a target paragraph according to the current electronic text identification information and/or the current user information; and generating the target paragraph request according to the target paragraph category.

In practical applications, the paragraph requesting Unit 71, the second sending Unit 72 and the receiving Unit 73 can be implemented by a second processor 74 located on the terminal 7, specifically implemented by a CPU (central Processing Unit), an MPU (micro processor Unit), a DSP (Digital Signal processor), a Field Programmable Gate Array (FPGA), or the like.

An embodiment of the present invention further provides a terminal 7, and as shown in fig. 9, the terminal 7 includes: a second processor 74, a second memory 75 and a second communication bus 76, wherein the second memory 75 communicates with the second processor 74 through the second communication bus 76, the second memory 75 stores one or more programs executable by the second processor 74, and when the one or more programs are executed, the second processor 74 executes any one of the recommendation information acquisition methods according to the first embodiment.

In practical applications, the second Memory 75 may be a volatile first Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile first Memory (non-volatile Memory), such as a Read-Only first Memory (ROM), a flash Memory (flash Memory), a Hard Disk Drive (HDD) or a Solid-State Drive (SSD); or a combination of first memories of the above kind and provides programs and data to the second processor 74.

An embodiment of the present invention provides a computer-readable storage medium, which stores a program, and is applied to a server, where the program is executed by the second processor 74 to implement any one of the recommendation information acquisition methods described in the second embodiment.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.

Claims

1. A recommendation information acquisition method, characterized in that the method comprises:

counting historical reading data generated by historical marking operation on at least one electronic text; the historical reading data comprises marked content information corresponding to the historical marking operation, and the marked content information comprises text content marked by the historical mark and electronic text identification information corresponding to the text content;

determining sub-text content corresponding to each electronic text from the text content according to the electronic text identification information; determining paragraph information generated when the history marking operation is performed on the sub-text content each time, wherein each paragraph in the paragraph information is text content corresponding to one paragraph or text content corresponding to a plurality of paragraphs;

and pushing the target paragraph information to the terminal.

2. The method of claim 1, wherein the historical reading data further comprises user information corresponding to the historical tagging operation;

3. The method of claim 1, wherein when the target paragraph request includes target category information, said determining, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request comprises:

4. The method according to claim 1, wherein after said determining paragraph information corresponding to each electronic text in the at least one electronic text according to the markup content information to obtain at least one paragraph information, and before said determining target paragraph information corresponding to the target paragraph request from the at least one paragraph information, the method further comprises:

acquiring an operation type corresponding to the history marking operation;

5. The method of claim 4, wherein said determining, from said at least one paragraph information, a target paragraph information corresponding to said target paragraph request comprises:

6. A recommendation information acquisition method, characterized in that the method comprises:

sending the target paragraph request to a server;

receiving target paragraph information which is requested to be fed back by the server according to the target paragraph, wherein the target paragraph information is a recommended paragraph corresponding to any one electronic text, and the target paragraph information is historical reading data generated by performing historical marking operation on at least one electronic text through statistics; the historical reading data comprises marked content information corresponding to the historical marking operation, and the marked content information comprises text content marked by the historical mark and electronic text identification information corresponding to the text content; determining sub-text content corresponding to each electronic text from the text content according to the electronic text identification information; determining paragraph information generated when the history marking operation is performed on the sub-text content each time, wherein each paragraph in the paragraph information is text content corresponding to one paragraph or text content corresponding to a plurality of paragraphs; from the at least one paragraph information, target paragraph information corresponding to the target paragraph request is determined.

7. The method of claim 6, wherein generating a target paragraph request comprises:

pop-up paragraph information options;

8. The method of claim 6, wherein generating a target paragraph request comprises:

9. A server, characterized in that the server comprises: the device comprises an acquisition unit, a paragraph generation unit, a determination unit and a first sending unit; wherein the content of the first and second substances,

the acquisition unit is used for counting historical reading data generated by performing historical marking operation on at least one electronic text; the historical reading data comprises marked content information corresponding to the historical marking operation, and the marked content information comprises text content marked by the historical mark and electronic text identification information corresponding to the text content;

a paragraph generating unit, configured to determine, according to the electronic text identification information, sub-text content corresponding to each electronic text from the text content; determining paragraph information generated when the history marking operation is performed on the sub text content each time according to the sub text content, wherein each paragraph in the paragraph information is text content corresponding to one paragraph or text content corresponding to a plurality of paragraphs;

10. The server of claim 9, wherein the historical reading data further comprises user information corresponding to the historical tagging operations;

11. The server according to claim 10, wherein when the target paragraph request includes target category information, the determining unit is specifically configured to determine paragraph information, from the at least one paragraph information, for which the paragraph category information matches the target category information; and taking the determined paragraph information as the target paragraph information.

12. The server according to claim 9,

the paragraph generating unit is further configured to, after determining, according to the mark content information, paragraph information corresponding to each electronic text in the at least one electronic text to obtain at least one paragraph information, and before determining, from the at least one paragraph information, target paragraph information corresponding to the target paragraph request, obtain an operation type corresponding to the history mark operation; counting the execution times of each operation type corresponding to each paragraph in the paragraph information according to the operation types; and sequencing the execution times of the same operation types of the paragraphs in the paragraph information according to the execution times of each operation type corresponding to each paragraph, determining the paragraph sequencing information corresponding to the paragraph information, and obtaining at least one paragraph sequencing information corresponding to the at least one paragraph information.

13. The server according to claim 12,

the determining unit is specifically configured to determine the target paragraph information from the at least one paragraph information according to the at least one paragraph ordering information.

14. A server, characterized in that the server comprises: a first processor, a first memory, and a first communication bus, the first memory in communication with the first processor through the first communication bus, the first memory storing one or more programs executable by the first processor, the one or more programs, when executed, causing the first processor to perform the method of any of claims 1-5.

15. A terminal, characterized in that the terminal comprises: a paragraph request unit, a second sending unit and a receiving unit; wherein the content of the first and second substances,

the receiving unit is configured to receive target paragraph information that the server requests to feed back for the target paragraph, where the target paragraph information is a recommended paragraph corresponding to the any one electronic text, and the target paragraph information is history reading data generated by performing a history marking operation on at least one electronic text through statistics; the historical reading data comprises marked content information corresponding to the historical marking operation, and the marked content information comprises text content marked by the historical mark and electronic text identification information corresponding to the text content; determining sub-text content corresponding to each electronic text from the text content according to the electronic text identification information; determining paragraph information generated when the history marking operation is performed on the sub-text content each time, wherein each paragraph in the paragraph information is text content corresponding to one paragraph or text content corresponding to a plurality of paragraphs; from the at least one paragraph information, target paragraph information corresponding to the target paragraph request is determined.

16. The terminal of claim 15,

the paragraph requesting unit is specifically configured to pop up paragraph information options; and when a trigger instruction on the paragraph information option is received, generating the target paragraph request according to the trigger instruction.

17. The terminal of claim 15,

the paragraph requesting unit is specifically configured to respond to the selected instruction, and acquire current electronic text identification information and/or current user information corresponding to the any one electronic text; determining the type of a target paragraph according to the current electronic text identification information and/or the current user information; and generating the target paragraph request according to the target paragraph category.

18. A terminal, characterized in that the terminal comprises: a second processor, a second memory and a second communication bus, the second memory in communication with the second processor through the second communication bus, the second memory storing one or more programs executable by the second processor, the one or more programs, when executed, causing the second processor to perform the method of any of claims 6-8.

19. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a program, which is applied in a server, and which, when executed by a first processor, implements the method according to any one of claims 1 to 5; or, in a terminal, the program implementing the method of any one of claims 6 to 8 when executed by a second processor.