CN109739974A - A kind of recommendation information acquisition methods and device, storage medium - Google Patents
A kind of recommendation information acquisition methods and device, storage medium Download PDFInfo
- Publication number
- CN109739974A CN109739974A CN201811642559.9A CN201811642559A CN109739974A CN 109739974 A CN109739974 A CN 109739974A CN 201811642559 A CN201811642559 A CN 201811642559A CN 109739974 A CN109739974 A CN 109739974A
- Authority
- CN
- China
- Prior art keywords
- paragraph
- information
- text
- target
- request
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Information Transfer Between Computers (AREA)
Abstract
The embodiment of the invention discloses a kind of recommendation information acquisition methods and devices, storage medium, this method comprises: the history that statistics carries out the generation of history marking operation at least one e-text reads data；It includes label content information corresponding with the history marking operation that the history, which reads data,；According to the label content information, determines the corresponding paragraph information of each e-text at least one described e-text, obtain at least one paragraph information；When receiving terminal to the target paragraph request of any one e-text at least one described e-text, from least one described paragraph information, target paragraph information corresponding with target paragraph request is determined；The target paragraph information is pushed to the terminal.
Description
Technical field
The present invention relates to the information processing technology more particularly to a kind of recommendation information acquisition methods and device, storage medium.
Background technique
Currently, user's reading electronic book is often read by chapters and sections, if wondering that the content of which chapters and sections compares
It is excellent, it needs first to surf the Internet and consults other users for the historical review information of the excellent paragraph of related Sections, then against electricity
Philosophical works catalogue browses a chapters and sections or neighbouring chapters and sections in related Sections, searches excellent section in a chapters and sections or neighbouring chapters and sections
Fall, search relatively time-consuming, and the excellent paragraph to continue to check other chapters and sections in related Sections in this way, need again against
E-book catalogue browses other chapters and sections, could search the excellent paragraph of other chapters and sections, that is to say, that obtains go through in the prior art
When excellent paragraph in history comment information, user needs access of first surfing the Internet, then ransacks page by page after consulting catalogue, can not quick obtaining
To excellent paragraph.
Summary of the invention
It, can be quick it is a primary object of the present invention to propose a kind of recommendation information acquisition methods and device, storage medium
Obtain recommendation information.
The technical scheme of the present invention is realized as follows:
The embodiment of the invention provides a kind of recommendation information acquisition methods, which comprises
It counts the history that the generation of history marking operation is carried out at least one e-text and reads data；The history is read
Data include label content information corresponding with the history marking operation；
According to the label content information, the corresponding paragraph of each e-text at least one described e-text is determined
Information obtains at least one paragraph information；
When receiving terminal to the target paragraph request of any one e-text at least one described e-text,
From at least one described paragraph information, target paragraph information corresponding with target paragraph request is determined；
The target paragraph information is pushed to the terminal.
In above scheme, the label content information includes that the content of text marked by history and the content of text are corresponding
E-text identification information；
It is described according to the label content information, determine that each e-text is corresponding at least one described e-text
Paragraph information, comprising:
According to the e-text identification information, the corresponding son of each e-text is determined from the content of text
Content of text；
According to the sub- content of text, the paragraph information is determined.
In above scheme, it further includes user information corresponding with the history marking operation that the history, which reads data,；
Described according to the label content information, determine that each e-text is corresponding at least one described e-text
Paragraph information, it is described from least one described paragraph information after obtaining at least one paragraph information, it is determining with the mesh
Bid section is fallen before the corresponding target paragraph information of request, the method also includes:
According to the label content information and/or the user information, determine each at least one described paragraph information
The paragraph classification information of paragraph.
It is described from least one described section when target paragraph request includes target category information in above scheme
It falls in information, determines target paragraph information corresponding with target paragraph request, comprising:
From at least one described paragraph information, the paragraph classification information and the target category information matches are determined
Paragraph information；
The paragraph information that will be determined, as the target paragraph information.
In above scheme, described according to the label content information, determine each at least one described e-text
The corresponding paragraph information of e-text, it is described from least one described paragraph information after obtaining at least one paragraph information,
Before determining target paragraph information corresponding with target paragraph request, the method also includes:
Obtain the corresponding operation species of the history marking operation；
According to the operation species, the execution of each corresponding operation species of each paragraph in the paragraph information is counted
Number；
According to the execution number of each corresponding operation species of each paragraph, to paragraph in the paragraph information
The execution number of same operation type is ranked up, and determines the corresponding paragraph sequencing information of the paragraph information, obtain it is described extremely
Few at least one corresponding paragraph sequencing information of a paragraph information.
Described from least one described paragraph information in above scheme, determination is corresponding with target paragraph request
Target paragraph information, comprising:
According at least one described paragraph sequencing information, the target paragraph is determined from least one described paragraph information
Information.
The embodiment of the invention provides a kind of recommendation information acquisition methods, which comprises
In current read interface, when receive any one e-text at least one e-text chooses instruction
When, generate target paragraph request；
Target paragraph request is sent to server；
The server is received for the target paragraph information of target paragraph request feedback, the target paragraph information
For the corresponding recommendation paragraph of any one described e-text.
In above scheme, the generation target paragraph request, comprising:
Pop up paragraph information option；
When receiving to triggering command on the paragraph information option, according to the triggering command, the mesh is generated
Bid section falls request.
In above scheme, the generation target paragraph request, comprising:
Instruction is chosen described in response, obtains the corresponding Current electronic Text Flag information of any one described e-text
And/or current user information；
According to the Current electronic Text Flag information and/or the current user information, target paragraph classification is determined；
According to the target paragraph classification, the target paragraph request is generated.
The embodiment of the invention provides a kind of server, the server include: acquiring unit, paragraph generation unit, really
Order member and the first transmission unit；Wherein,
Acquiring unit reads number for counting the history for carrying out the generation of history marking operation at least one e-text
According to；It includes label content information corresponding with the history marking operation that the history, which reads data,；
Paragraph generation unit, for determining each at least one described e-text according to the label content information
The corresponding paragraph information of e-text, obtains at least one paragraph information；
Determination unit receives terminal to the mesh of any one e-text at least one described e-text for working as
When bid section falls request, from least one described paragraph information, target paragraph letter corresponding with target paragraph request is determined
Breath；
Transmission unit, for the target paragraph information to be pushed to the terminal.
In above scheme, the label content information includes that the content of text marked by history and the content of text are corresponding
E-text identification information；
The paragraph generation unit is specifically used for according to the e-text identification information, from the content of text really
Determine the corresponding sub- content of text of each e-text；And according to the sub- content of text, determine the paragraph information.
In above scheme, it further includes user information corresponding with the history marking operation that the history, which reads data,；
The paragraph generation unit is also used to determine at least one described electricity according to the label content information described
The corresponding paragraph information of each e-text, described from described at least one after obtaining at least one paragraph information in Ziwen sheet
In a paragraph information, before determining target paragraph information corresponding with target paragraph request, believed according to the label content
Breath and/or the user information determine the paragraph classification information of each paragraph at least one described paragraph information.
In above scheme, when target paragraph request includes target category information, the determination unit is specifically used for
From at least one described paragraph information, determine that the paragraph of the paragraph classification information and the target category information matches is believed
Breath；And the paragraph information that will be determined, as the target paragraph information.
In above scheme, the paragraph generation unit is also used to described according to the label content information, determine described in
The corresponding paragraph information of each e-text at least one e-text, after obtaining at least one paragraph information, it is described from
In at least one described paragraph information, before determining target paragraph information corresponding with target paragraph request, institute is obtained
State the corresponding operation species of history marking operation；And according to the operation species, each paragraph pair in the paragraph information is counted
The execution number for each operation species answered；And the execution time according to each corresponding operation species of each paragraph
Number, is ranked up the execution number of the same operation type of paragraph in the paragraph information, determines that the paragraph information is corresponding
Paragraph sequencing information, obtain described at least one corresponding paragraph sequencing information of at least one paragraph information.
In above scheme, the determination unit is specifically used for according at least one described paragraph sequencing information, from it is described to
The target paragraph information is determined in a few paragraph information.
The embodiment of the invention also provides a kind of server, the server include: first processor, first memory and
First communication bus, the first memory is communicated by first communication bus with the first processor, described
First memory stores one or more executable program of the first processor, when one or more of program quilts
When execution, executed by the first processor such as the step of any of the above-described recommendation information acquisition methods.
The embodiment of the invention provides a kind of terminal, the terminal includes: paragraph request unit, the second transmission unit and connects
Receive unit；Wherein,
The paragraph request unit, it is any one at least one e-text when receiving in current read interface
When choosing instruction of a e-text generates target paragraph request；
Second transmission unit, for target paragraph request to be sent to server；
The receiving unit, for receiving the server for the target paragraph letter of target paragraph request feedback
Breath, the target paragraph information are the corresponding recommendation paragraph of any one described e-text.
In above scheme, the paragraph request unit is specifically used for pop-up paragraph information option；And works as and receive to institute
When stating the triggering command on paragraph information option, according to the triggering command, the target paragraph request is generated.
In above scheme, the paragraph request unit, specifically for choosing instruction described in response, obtain described in any one
The corresponding Current electronic Text Flag information of e-text and/or current user information；And according to the Current electronic text mark
Know information and/or the current user information, determines target paragraph classification；And according to the target paragraph classification, generate institute
State target paragraph request.
The embodiment of the invention also provides a kind of terminal, the terminal includes: second processor, second memory and second
Communication bus, the second memory are communicated by second communication bus with the second processor, and described second
Memory stores one or more executable program of the second processor, when one or more of programs are performed
When, it is executed by the second processor such as the step of any of the above-described recommendation information acquisition methods.
The embodiment of the invention provides a kind of computer readable storage medium, the computer-readable recording medium storage has
Program is applied in server, and such as any of the above-described recommendation information acquisition side is realized when described program is executed by first processor
The step of method；Alternatively, being applied in terminal, such as any of the above-described recommendation information is realized when described program is executed by second processor
The step of acquisition methods.
The embodiment of the present invention provides a kind of recommendation information acquisition methods and device, storage medium, firstly, statistics is at least one
The history that a e-text carries out the generation of history marking operation reads data；The history reads data
Note operates corresponding label content information；Then, it according to the label content information, determines at least one described e-text
The corresponding paragraph information of each e-text, obtains at least one paragraph information；Secondly, when receiving terminal to described at least one
In a e-text any one e-text target paragraph request when, from least one described paragraph information, determine with
The target paragraph requests corresponding target paragraph information；Finally, the target paragraph information is pushed to the terminal.Using
Above-mentioned technic relization scheme is read data to the history that history marking operation generates and is sorted out, obtains each e-text pair
The paragraph information answered, when receiving target paragraph request, the corresponding paragraph letter of the e-text that can be directly obtained from classification
Target paragraph information is determined in breath, realizes quick obtaining recommendation information.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of recommendation information acquisition device provided in an embodiment of the present invention；
Fig. 2 is a kind of flow chart one of recommendation information acquisition methods provided in an embodiment of the present invention；
Fig. 3 is a kind of flowchart 2 of recommendation information acquisition methods provided in an embodiment of the present invention；
Fig. 4 (a) is a kind of terminal reading interface schematic diagram one provided in an embodiment of the present invention；
Fig. 4 (b) is a kind of terminal reading interface schematic diagram two provided in an embodiment of the present invention；
Fig. 4 (c) is a kind of terminal reading interface schematic diagram three provided in an embodiment of the present invention；
Fig. 5 is a kind of flow chart 3 of recommendation information acquisition methods provided in an embodiment of the present invention；
Fig. 6 is a kind of structural schematic diagram one of server provided in an embodiment of the present invention；
Fig. 7 is a kind of structural schematic diagram two of server provided in an embodiment of the present invention；
Fig. 8 is a kind of structural schematic diagram one of terminal provided in an embodiment of the present invention；
Fig. 9 is a kind of structural schematic diagram two of terminal provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
As shown in Figure 1, a kind of structural schematic diagram of its recommendation information acquisition device of each embodiment to realize the present invention,
The device 1 may include: server 10 and terminal 11；Wherein, server 10 can store the data file of application program, application
The user data etc. of program, user data can also be broadcasted with it is synchronous etc.；Terminal 11 is when running application program, with clothes
Device 10 of being engaged in carries out data interaction, can download the data file of the application program from server 10 by network, can also be to
10 upload user of server operates the user data of application program generation, and terminal 11 can be implemented in a variety of manners, for example,
Can be includes the mobile terminals such as mobile phone, tablet computer, laptop, palm PC, and such as desktop computer
Equal fixed terminals；Should program include read class application program.
It will be understood by those skilled in the art that recommendation information acquisition device structure shown in Fig. 1 is not constituted to recommendation
The restriction of information acquisition device, recommendation information acquisition device may include components more more or fewer than diagram, or combine certain
A little components or different component layouts.
It should be noted that the embodiment of the present invention can be realized based on recommendation information acquisition device shown in FIG. 1.
Embodiment one
The embodiment of the present invention provides a kind of recommendation information acquisition methods, is applied in server, as shown in Fig. 2, this method
Include:
S201: it counts the history that the generation of history marking operation is carried out at least one e-text and reads data；History is read
Reading data includes label content information corresponding with history marking operation.
User opens application program by terminal, and application program can be to read class application program, and user applies journey to this
E-text in sequence is browsed, and user generates after operation is marked to the content of text of e-text in navigation process
Content information is marked, it includes the reading data for marking content information that server is obtained from terminal, and in turn, server can be according to
Default collection rule, the history that statistical history marking operation generates read data, generate or update recommendation information；Wherein, electronics
The content of text of text includes the paragraph information of e-book.
In some embodiments, default collection rule includes at least one of the following: data temporary storage, at data analysis
Reason, data summarization, report etc..
Illustratively, it includes: in user to e-text that server, which reads data according to default collection rule statistical history,
Content of text be marked after operation, server from terminal receive history read data, to history read data go through
History storage；When current time is to preset to report the moment, data are read to the history by the end of current time and are analyzed and processed；
Data are read to analysis treated history and carry out data summarization, report is generated, is saved.
In some embodiments, the corresponding operation species of marking operation include mark notes operation, mark comment operation, draw
Line operation, duplication operation, addition tag operational, content sharing operation and thumb up operation etc., wherein mark notes operation packet
Include mark privately owned notes operation and the open notes operation of mark, thumbing up operation includes thumbing up for the content of text of e-text
Operation, thumbing up operation and thumb up operation etc. for comment for open notes.
In some embodiments, label content information includes the content of text and the corresponding electricity of content of text marked by history
This identification information of Ziwen.
Illustratively, after operation is marked to the content of text of e-text in user, terminal is available by history
The corresponding e-text identification information of content of text and text content of label, wherein e-text identification information includes: electricity
The chapters and sections mark of chapters and sections where sub- Text Flag (for example, books title), text content, position of the text content in chapters and sections
Confidence breath and this time operation species of marking operation；Server obtains history from terminal and reads data, which reads number
According to include by history mark content of text and e-text identification information.
In some embodiments, it further includes user information corresponding with history marking operation that history, which reads data,.
Illustratively, after operation is marked to the content of text of e-text in user, the history that server obtains is read
Data are read, can also include the corresponding user information of history marking operation；Wherein, the process for obtaining user information includes: terminal
It detects that user opens the reading class application program, or detects that operation is marked to the content of text of e-text in user
When, display user information fills in frame, fills in frame using user information and collects user information, user information includes user's gender and use
Family age bracket, server is obtained from terminal to be read by the history that content of text, e-text identification information and user information form
Read data.
Illustratively, terminal detects whether user opens the reading class application program and the user under logging state
It is to show that user information fills in frame on reading class Application Program Interface when first logging into, fills in frame using user information and collect
User information, in turn, server obtain user information and user's login banner from terminal, and user information and user are logged in mark
Know corresponding save；In turn, server obtains history from terminal and reads data and user's login banner, logs in when getting user
When mark, corresponding user information is retrieved using user's login banner, user information is stored in history and is read in data.
S202: according to label content information, the corresponding paragraph letter of each e-text at least one e-text is determined
Breath, obtains at least one paragraph information.
After the history that server gets at least one e-text reads data, to the history of at least one e-text
It reads data to be sorted out, obtains the corresponding paragraph information of each e-text, obtain corresponding by least one e-text
At least one paragraph information of paragraph information composition determines recommendation information, recommendation in turn from least one paragraph information
Breath can be excellent paragraph information.
In some embodiments, label content information includes the content of text and the corresponding electricity of content of text marked by history
This identification information of Ziwen；Server determines that each e-text is corresponding from content of text according to e-text identification information
Sub- content of text；According to sub- content of text, paragraph information is determined.
Illustratively, the label content information that server is got includes e-text mark, e-text identification information
It is identified including e-text, server is identified first with e-text, the content of text that the same e-text is identified, really
It is set to the sub- content of text an of e-text；It is then possible to determine each history marking operation generation in sub- content of text
Paragraph information, each paragraph can be the corresponding content of text of a paragraph or the corresponding text of multiple paragraphs in paragraph information
This content；Alternatively, can be divided with antithetical phrase content of text according to paragraph, obtaining each paragraph in paragraph information can be one
The corresponding content of text of a paragraph.
In some embodiments, it further includes user information corresponding with history marking operation that history, which reads data,；Server
According to label content information and/or user information, the paragraph classification information of each paragraph at least one paragraph information is determined.
Illustratively, server is right according to label content information and/or user information according to pre-set categories division rule
Each paragraph is classified in the corresponding paragraph information of each e-text, is obtained in the corresponding paragraph information of each e-text
The paragraph classification information of each paragraph, and then obtain every by least one corresponding paragraph information China of at least one e-text
The paragraph classification information of a paragraph；Wherein, pre-set categories division rule include it is following at least one: according to character divide,
Divided according to the number of operations of marking operation, divide according to age bracket and divided according to gender etc..
Illustratively, when pre-set categories division rule is to divide according to character, server to each e-text,
According to the content of text marked in label content information by history, specifically, according to the corresponding paragraph information of each e-text
In each paragraph content of text, determine the corresponding character of each paragraph, character include leading man, leading lady or its
His specific role, using the corresponding character of each paragraph as paragraph classification information, and by paragraph classification information and each section
Fall corresponding preservation.
Illustratively, when pre-set categories division rule is to divide according to the number of operations of marking operation, server is to every
A e-text is specifically, corresponding identical according to each paragraph according to the operation species of marking operation in label content information
The frequency of the marking operation of operation species determines the section that frequency is most in the corresponding paragraph information of each e-text
It falls, the frequency of the marking operation of the same operation type is most, as the paragraph classification information of the paragraph, and by paragraph
Classification information is corresponding with each paragraph to be saved.
Illustratively, when pre-set categories division rule is to divide according to age bracket, server is to each e-text, root
According to the age of user section in user information, the corresponding age of user section of each paragraph is determined, by the corresponding user year of each paragraph
Age section be used as paragraph classification information, and by paragraph classification information it is corresponding with each paragraph preservation.
In some embodiments, server obtains the corresponding operation species of history marking operation；According to operation species, statistics
The execution number of each corresponding operation species of each paragraph in paragraph information；According to each the corresponding operation of each paragraph
The execution number of type is ranked up the execution number of the same operation type of paragraph in paragraph information, determines paragraph information
Corresponding paragraph sequencing information obtains at least one corresponding paragraph sequencing information of at least one paragraph information.
Illustratively, server determines the corresponding paragraph information of each e-text according to label content information, also from
The operation species that the corresponding history marking operation of each e-text is obtained in label content information count each in paragraph information
The execution number of each corresponding operation species of paragraph；The execution number of the corresponding same operation type of each paragraph is calculated,
The execution number of same operation type can be the execution number of at least one operation species, for example, thumbing up the execution time of operation
Number or the execution number of mark notes；According to the execution number of same operation type, paragraphs all in paragraph information are arranged
Sequence obtains the corresponding paragraph sequencing information of paragraph information；And then it obtains by the corresponding paragraph sequence letter of at least one e-text
Cease at least one paragraph sequencing information of composition, and by paragraph information and the corresponding preservation of its corresponding paragraph sequencing information.
Illustratively, according to the execution number of same operation type, paragraphs all in paragraph information are ranked up, specifically
It include: according to the execution number of statistics duration and same operation type, the execution of the same operation type in the unit of account time
Number is ranked up paragraphs all in paragraph information.
Illustratively, after obtaining the corresponding paragraph sequencing information of paragraph information, further includes: manually adjust paragraph sequence
Information obtains updated paragraph sequencing information, and then obtains by the corresponding updated paragraph row of at least one e-text
At least one paragraph sequencing information of sequence information composition.
In some embodiments, server obtains the paragraph class of each paragraph in the corresponding paragraph information of each e-text
The execution of each corresponding operation species of each paragraph in other information and paragraph information；According to each Segment type information,
The identical every a kind of paragraph information of paragraph classification information is determined from paragraph information；According to each the corresponding operation of each paragraph
The execution number of type is ranked up the execution number of the same operation type of each paragraph in every a kind of paragraph information, really
Determine the corresponding paragraph sequencing information of paragraph information.
S203: the target paragraph of any one e-text at least one e-text is requested when receiving terminal
When, from least one paragraph information, determine target paragraph information corresponding with target paragraph request.
User can be believed when browsing to any one e-text in application program by the paragraph in terminal
Option is ceased, target paragraph request is initiated, after server receives target paragraph request from terminal, from least one paragraph information
In, determine target paragraph information.
Illustratively, when user browses an e-book in the application, want to see leading man or some particular persons
Plot, can at the terminal in paragraph information option leading man's option or particular persons option select, terminal is raw
At the request of the target paragraph of characterization leading man or particular persons；Alternatively, when user selects an e-book in the application,
Want to see all excellent paragraph informations in the e-book, it can be at the terminal to the excellent paragraph options in paragraph request selecting
It is selected, terminal characterizes the target paragraph request of excellent paragraph.
It should be noted that target paragraph request, which is also possible to terminal, is directed to the current clear of an e-book according to user
It lookes at behavior, generates target paragraph request, may include: that terminal obtains user to the current browsing position of an e-book, when
When currently the corresponding chapters and sections in browsing position are the last one chapters and sections, terminal generates the target for characterizing the book categories of the e-book
Paragraph request, accordingly, server is according to the book categories of the e-book, and determination belongs to this from least one e-book
Other e-books of book categories, and target paragraph information is determined from the corresponding paragraph information of other e-books；When working as
When the corresponding chapters and sections in preceding browsing position are intermediate chapters and sections, terminal generates the target paragraph request for characterizing the chapters and sections mark of the chapters and sections,
Accordingly, server is identified according to chapters and sections, and other after the chapters and sections are determined from the corresponding paragraph information of the e-book
The corresponding paragraph of chapters and sections, as target paragraph information.
It should be noted that the characterization that target paragraph request or terminal generate requests the target paragraph of popular books
Request, accordingly, server determine hot topic books from least one e-book, and from the corresponding paragraph information of popular books
Middle determining target paragraph information.
In some embodiments, server determines paragraph classification information and target category from least one paragraph information
The paragraph information of information matches；The paragraph information that will be determined, as target paragraph information.
Illustratively, when server determines that target paragraph request includes target category information, first according to this, any one is electric
The e-text of Ziwen sheet identifies, and determines this from least one paragraph information any one e-text is corresponding and work as previous paragraphs
Information recycles target category information to determine paragraph classification information and target type from all paragraphs of current paragraph information
The identical paragraph of information, the paragraph information that will be determined, as target paragraph information.
In some embodiments, server is according at least one paragraph sequencing information, from least one paragraph information really
Set the goal paragraph information.
Illustratively, server determines target paragraph information corresponding with target paragraph request, may include: when paragraph is arranged
Sequence information representation to the execution number of same operation type carry out it is descending sequence generate sequencing information when, server according to
Paragraph sequencing information can be located at preceding m of paragraph by least one corresponding paragraph sequencing information of at least one paragraph information
Information is determined as target paragraph information.
S204: target paragraph information is pushed to terminal.
Target paragraph information is sent to terminal by server, so that terminal shows target paragraph information to user.
Sort out it is understood that server reads data to the history that history marking operation generates, obtains each
The corresponding paragraph information of e-text can be directly from the obtained e-text pair of classification when receiving target paragraph request
Target paragraph information is determined in the paragraph information answered, and realizes quick obtaining recommendation information.
Embodiment two
In order to more embody the purpose of the present invention, on the basis of preceding method embodiment, further lifted
Example explanation.
The embodiment of the present invention provides a kind of recommendation information acquisition methods, is applied in terminal, as shown in figure 3, this method packet
It includes:
S301: in current read interface, when receiving choosing for any one e-text at least one e-text
When instruction, target paragraph request is generated.
Recommendation information acquisition device can run application program for the terminal in system 1, terminal, which can
Think and read class application program, terminal is provided with paragraph information option on the read interface of the application program, and terminal is by section
It falls information option and obtains and meet the target paragraph classification that user reads hobby；Alternatively, terminal can also be on Application Program Interface
It sets user information and fills in frame, terminal fills in frame by user information and collects user information, is determined for compliance with use according to user information
Read the target paragraph classification of hobby in family；Terminal generates target paragraph request according to target paragraph classification, and is sent to server.
It should be noted that terminal obtains paragraph information option from server, comprising: when user selects in application program
An e-text when, terminal to server send the e-text e-text mark, from received server-side paragraph
The relevant data file of information option；Alternatively, receive the data packet of the e-text from server, server is by the data file
It is stored in the data packet of the e-text.
In some embodiments, user opens application program at the terminal, and user selects an electronics in application program
When text, what terminal received the e-text chooses instruction, shows the read interface of the e-text, user can be to this
When the content of text of e-text carries out history marking operation, terminal obtains the history that history marking operation generates and reads data,
And history reading data are sent to server, so that server, which reads data according to history, generates at least one paragraph letter
Breath.
Illustratively, after operation is marked to the content of text of e-text in user, the history that server obtains is read
Data are read, can also include the corresponding user information of history marking operation；Wherein, the process for obtaining user information includes: terminal
It detects that user opens the reading class application program, or detects that operation is marked to the content of text of e-text in user
When, display user information fills in frame, fills in frame using user information and collects user information, user information includes user's gender and use
Family age bracket, terminal, which is generated, reads data by the history that content of text, e-text identification information and user information form.
Illustratively, the process for obtaining user information can also include: that terminal detects that user opens under logging state
Whether the reading class application program and the user are to show user information on reading class Application Program Interface when first logging into
Frame is filled in, frame is filled in using user information and collects user information, and send user information and user's login banner, clothes to server
User information and user's login banner are corresponded to and are saved by business device；In turn, terminal to server sends history and reads data and user
After login banner, server can use user's login banner and retrieve corresponding user information, and user information is stored in history
It reads in data.
In some embodiments, terminal pops up paragraph information option；The triggering on paragraph information option is referred to when receiving
When enabling, according to triggering command, target paragraph request is generated.
Illustratively, terminal receives when currently choosing instruction of an e-text, shows the current of the e-text
Read interface, when issuing the acquisition instruction of paragraph information option by touch control operation on current read interface, terminal exists user
Pop up paragraph information option on current read interface, paragraph information option includes at least one paragraph classification information, and user can be with
It is selected from paragraph information option and meets the personal target paragraph classification for reading hobby, and target paragraph request is sent to service
Device, response；Wherein, paragraph classification information includes leading man's paragraph, leading lady's paragraph and particular persons paragraph etc..
In some embodiments, instruction is chosen in terminal response, obtains the corresponding Current electronic text of any one e-text
This identification information and/or current user information；According to Current electronic Text Flag information and/or current user information, mesh is determined
Bid section falls classification；According to target paragraph classification, target paragraph request is generated.
Illustratively, after the e-text that user selects in application program, the available e-text of terminal
Corresponding e-text mark regard e-text mark as Current electronic Text Flag information；Terminal can also be according to user
For the current browsing behavior of an e-book, obtain Current electronic Text Flag information, specifically include: terminal obtains user
To the current browsing position of an e-book, when currently the corresponding chapters and sections in browsing position are the last one chapters and sections, terminal is obtained
The book categories for taking the e-book, using book categories as Current electronic Text Flag information；When currently, browsing position is corresponding
Chapters and sections be intermediate chapters and sections when, terminal obtain the chapters and sections chapters and sections mark, by chapters and sections mark as Current electronic Text Flag believe
Breath.
It can also include: that instruction is chosen in response, terminal generates characterization and asks it should be noted that generating target paragraph request
Seek the target paragraph information of popular books.
S302: target paragraph request is sent to server.
Target paragraph request is sent to server by terminal, so that server returns to target paragraph information.
S303: server is received for the target paragraph information of target paragraph request feedback, target paragraph information is any
The corresponding recommendation paragraph of one e-text.
Terminal receives target paragraph information from server, and target paragraph information is shown on current read interface.
Illustratively, terminal receives when currently choosing instruction, reads a chapters and sections of an e-text currently
The chapters and sections content 42 that the chapters and sections are shown on interface 41 is read, as shown in Fig. 4 (a), the acquisition that user issues paragraph information option 43 refers to
When enabling, terminal pops up paragraph information option 43 on current read interface 41, and as shown in Fig. 4 (b), paragraph information option 43 includes
At least one paragraph classification information, user can select from paragraph information option 43 meets the personal target paragraph for reading hobby
Classification, and target paragraph request is sent to server, target paragraph information 44 is received from server, and be shown in and currently read
It reads on interface 41, as shown in Fig. 4 (c)；Wherein, at least one paragraph classification information may include leading man's paragraph 431 and specific
Personage's paragraph 432；Paragraph information option can also include complete chapters and sections option 433, in current 41 displaying target section of read interface
When falling information 44, user selects complete chapters and sections option 433, and terminal shows the chapters and sections of the chapters and sections again on current read interface 41
Content 42, as shown in Fig. 4 (a).
It is understood that terminal, which generates characterization user, reads the target paragraph request of hobby, and it is sent to server, from
Server receives target paragraph and requests corresponding target paragraph information, also, target paragraph request can characterize user's reading
Hobby, then, it is also the paragraph information for meeting user and reading hobby that target paragraph, which requests corresponding target paragraph information, in this way,
User is improved to the satisfaction of recommendation information.
Embodiment three
In order to more embody the purpose of the present invention, on the basis of preceding method embodiment, further lifted
Example explanation.
The embodiment of the present invention provides a kind of recommendation information acquisition methods, as shown in figure 5, this method comprises:
S501: the history that at least one e-text carries out the generation of history marking operation is read data by terminal, is sent to
Server；
User opens application program at the terminal, and when user selects an e-text in application program, terminal is received
Instruction is chosen to the e-text, shows the read interface of the e-text, user can be to the text of this e-text
When content carries out history marking operation, terminal obtains the history that history marking operation generates and reads data, and history is read number
According to being sent to server.
S502: the history that server statistics carry out the generation of history marking operation at least one e-text reads data；
It includes label content information corresponding with history marking operation that history, which reads data,；
S503: server determines that each e-text is corresponding at least one e-text according to label content information
Paragraph information obtains at least one paragraph information；
S504: in current read interface, when receiving choosing for any one e-text at least one e-text
When instruction, terminal generates target paragraph request；
S505: target paragraph request is sent to server by terminal；
S506: the target paragraph of any one e-text at least one e-text is requested when receiving terminal
When, server determines target paragraph information corresponding with target paragraph request from least one paragraph information；
S507: target paragraph information is pushed to terminal by server.
S508: terminal receives server for the target paragraph information of target paragraph request feedback, and target paragraph information is
The corresponding recommendation paragraph of any one e-text.
In embodiments of the present invention, S502-S503, S506-S507 realize S201- in the description and embodiment one of process
The description of the realization process of S204 is consistent, and S504-S505, S508 realize S301-S303 in the description and embodiment two of process
The description of realization process is consistent, and details are not described herein again.
It is understood that the server in recommendation information acquisition device reads number to the history that history marking operation generates
According to being sorted out, the corresponding paragraph information of each e-text is obtained, when receiving target paragraph request from terminal, Neng Gouzhi
It connects and determines target paragraph information from the corresponding paragraph information of e-text that classification obtains, realize quick obtaining recommendation
Breath.
Example IV
Same inventive concept based on embodiment one, is further detailed.
The embodiment of the present invention provides a kind of server 6, as shown in fig. 6, the server 6 includes: acquiring unit 61, paragraph life
At unit 62, determination unit 63 and the first transmission unit 64；Wherein,
Acquiring unit 61 reads number for counting the history for carrying out the generation of history marking operation at least one e-text
According to；It includes label content information corresponding with the history marking operation that the history, which reads data,；
Paragraph generation unit 62, for determining every at least one described e-text according to the label content information
The corresponding paragraph information of a e-text, obtains at least one paragraph information；
Determination unit 63 receives terminal to any one e-text at least one described e-text for working as
When target paragraph is requested, from least one described paragraph information, target paragraph corresponding with target paragraph request is determined
Information；
Transmission unit, for the target paragraph information to be pushed to the terminal.
In some embodiments, the label content information includes the content of text and the content of text marked by history
Corresponding e-text identification information；
The paragraph generation unit 62 is specifically used for according to the e-text identification information, from the content of text
Determine the corresponding sub- content of text of each e-text；And according to the sub- content of text, determine the paragraph information.
In some embodiments, it further includes user's letter corresponding with the history marking operation that the history, which reads data,
Breath；
The paragraph generation unit 62, is also used to described according to the label content information, determine it is described at least one
The corresponding paragraph information of each e-text in e-text, after obtaining at least one paragraph information, it is described from it is described at least
In one paragraph information, before determining target paragraph information corresponding with target paragraph request, according to the label content
Information and/or the user information determine the paragraph classification information of each paragraph at least one described paragraph information.
In some embodiments, when target paragraph request includes target category information, the determination unit 63, tool
Body is used for from least one described paragraph information, determines the section of the paragraph classification information Yu the target category information matches
Fall information；And the paragraph information that will be determined, as the target paragraph information.
In some embodiments, the paragraph generation unit 62 is also used to described according to the label content information, really
The corresponding paragraph information of each e-text at least one fixed described e-text, after obtaining at least one paragraph information,
It is described from least one described paragraph information, before determining target paragraph information corresponding with target paragraph request,
Obtain the corresponding operation species of the history marking operation；And according to the operation species, count each in the paragraph information
The execution number of each corresponding operation species of paragraph；And according to each corresponding operation species of each paragraph
Number is executed, the execution number of the same operation type of paragraph in the paragraph information is ranked up, determines the paragraph letter
Corresponding paragraph sequencing information is ceased, at least one corresponding paragraph sequencing information of at least one described paragraph information is obtained.
In some embodiments, the determination unit 63 is specifically used at least one paragraph sequencing information according to, from
The target paragraph information is determined at least one described paragraph information.
It should be noted that in practical applications, above-mentioned acquiring unit 61, paragraph generation unit 62,63 and of determination unit
First transmission unit 64 can be realized, specially CPU (Central by the first processor 65 being located on server 6
Processing Unit, central processing unit), MPU (Microprocessor Unit, microprocessor), DSP (Digital
Signal Processing, digital signal processor) or field programmable gate array (FPGA, Field Programmable
Gate Array) etc. realize.
The embodiment of the invention also provides a kind of servers 6, as shown in fig. 7, the server 6 includes: first processor
65, first memory 66 and the first communication bus 67, the first memory 66 by first communication bus 67 with it is described
First processor 65 is communicated, and the first memory 66 stores executable one or more of the first processor 65
Program, when one or more of programs are performed, by the first processor 65 execution such as one institute of previous embodiment
Any one the recommendation information acquisition methods stated.
In practical applications, first memory 66 can be volatibility first memory (volatile memory), such as
Arbitrary access first memory (Random-Access Memory, RAM)；Or non-volatile first memories (non-
Volatile memory), for example, read-only first memory (Read-Only Memory, ROM), quick flashing first memory
(flash memory), hard disk (Hard Disk Drive, HDD) or solid state hard disk (Solid-State Drive, SSD)；Or
The combination of the first memory of person's mentioned kind, and program and data are provided to first processor 65.
The embodiment of the invention provides a kind of computer readable storage medium, the computer-readable recording medium storage has
Program is applied in server, realizes when described program is executed by first processor 65 any as described in previous embodiment one
A kind of recommendation information acquisition methods.
Embodiment five
Same inventive concept based on embodiment two, is further detailed.
The embodiment of the present invention provides a kind of terminal 7, as shown in figure 8, the terminal 7 includes: that paragraph request unit 71, second is sent out
Send unit 72 and receiving unit 73；Wherein,
The paragraph request unit 71 is used in current read interface, any at least one e-text when receiving
When choosing instruction of one e-text generates target paragraph request；
Second transmission unit 72, for target paragraph request to be sent to server；
The receiving unit 73, for receiving the server for the target paragraph letter of target paragraph request feedback
Breath, the target paragraph information are the corresponding recommendation paragraph of any one described e-text.
In some embodiments, the paragraph request unit 71 is specifically used for pop-up paragraph information option；And when reception
When to triggering command on the paragraph information option, according to the triggering command, the target paragraph request is generated.
In some embodiments, the paragraph request unit 71 obtains described appoint specifically for choosing instruction described in response
It anticipates the corresponding Current electronic Text Flag information of an e-text and/or current user information；And according to the Current electronic
Text Flag information and/or the current user information, determine target paragraph classification；And according to the target paragraph classification,
Generate the target paragraph request.
It should be noted that in practical applications, above-mentioned paragraph request unit 71, the second transmission unit 72 and receiving unit
73, it can be realized by the second processor 74 being located in terminal 7, specially CPU (CentralProcessing Unit, centre
Manage device), MPU (Microprocessor Unit, microprocessor), DSP (Digital Signal Processing, number letter
Number processor) or field programmable gate array (FPGA, Field Programmable Gate Array) etc. realize.
The embodiment of the invention also provides a kind of terminals 7, as shown in figure 9, the terminal 7 includes: second processor 74,
Two memories 75 and the second communication bus 76, the second memory 75 pass through at second communication bus 76 and described second
Reason device 74 is communicated, and the second memory 75 stores one or more executable program of the second processor 74,
When one or more of programs are performed, pass through the second processor 74 and execute times as described in previous embodiment one
It anticipates a kind of recommendation information acquisition methods.
In practical applications, second memory 75 can be volatibility first memory (volatile memory), such as
Arbitrary access first memory (Random-Access Memory, RAM)；Or non-volatile first memories (non-
Volatile memory), for example, read-only first memory (Read-Only Memory, ROM), quick flashing first memory
(flash memory), hard disk (Hard Disk Drive, HDD) or solid state hard disk (Solid-State Drive, SSD)；Or
The combination of the first memory of person's mentioned kind, and program and data are provided to second processor 74.
The embodiment of the invention provides a kind of computer readable storage medium, the computer-readable recording medium storage has
Program is applied in server, realizes when described program is executed by second processor 74 any as described in previous embodiment two
A kind of recommendation information acquisition methods.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, the shape of hardware embodiment, software implementation or embodiment combining software and hardware aspects can be used in the present invention
Formula.Moreover, the present invention, which can be used, can use storage in the computer that one or more wherein includes computer usable program code
The form for the computer program product implemented on medium (including but not limited to magnetic disk storage and optical memory etc.).
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (21)
1. a kind of recommendation information acquisition methods, which is characterized in that the described method includes:
It counts the history that the generation of history marking operation is carried out at least one e-text and reads data；The history reads data
Including label content information corresponding with the history marking operation；
According to the label content information, the corresponding paragraph letter of each e-text at least one described e-text is determined
Breath, obtains at least one paragraph information；
When receiving terminal to the target paragraph request of any one e-text at least one described e-text, from institute
It states at least one paragraph information, determines target paragraph information corresponding with target paragraph request；
The target paragraph information is pushed to the terminal.
2. the method according to claim 1, wherein the label content information includes the text marked by history
Content and the corresponding e-text identification information of the content of text；
It is described according to the label content information, determine the corresponding paragraph of each e-text at least one described e-text
Information, comprising:
According to the e-text identification information, the corresponding Ziwen sheet of each e-text is determined from the content of text
Content；
According to the sub- content of text, the paragraph information is determined.
3. the method according to claim 1, wherein it further includes marking with the history that the history, which reads data,
Operate corresponding user information；
Described according to the label content information, corresponding section of each e-text at least one described e-text is determined
Information is fallen, described from least one described paragraph information after obtaining at least one paragraph information, the determining and target phase
It falls before the corresponding target paragraph information of request, the method also includes:
According to the label content information and/or the user information, each paragraph at least one described paragraph information is determined
Paragraph classification information.
4. the method according to claim 1, wherein when target paragraph request includes target category information
When, it is described from least one described paragraph information, determine target paragraph information corresponding with target paragraph request, packet
It includes:
From at least one described paragraph information, the paragraph of the paragraph classification information Yu the target category information matches is determined
Information；
The paragraph information that will be determined, as the target paragraph information.
5. the method according to claim 1, wherein described according to the label content information, determine described in
The corresponding paragraph information of each e-text at least one e-text, after obtaining at least one paragraph information, it is described from
In at least one described paragraph information, before determining target paragraph information corresponding with target paragraph request, the side
Method further include:
Obtain the corresponding operation species of the history marking operation；
According to the operation species, the execution time of each corresponding operation species of each paragraph in the paragraph information is counted
Number；
According to the execution number of each corresponding operation species of each paragraph, in the paragraph information paragraph it is identical
The execution number of operation species is ranked up, and determines the corresponding paragraph sequencing information of the paragraph information, obtains described at least one
At least one corresponding paragraph sequencing information of a paragraph information.
6. according to the method described in claim 5, it is characterized in that, described from least one described paragraph information, determine with
The target paragraph requests corresponding target paragraph information, comprising:
According at least one described paragraph sequencing information, the target paragraph letter is determined from least one described paragraph information
Breath.
7. a kind of recommendation information acquisition methods, which is characterized in that the described method includes:
It is given birth in current read interface when receiving when choosing instruction of any one e-text at least one e-text
It is requested at target paragraph；
Target paragraph request is sent to server；
The server is received for the target paragraph information of target paragraph request feedback, the target paragraph information is institute
State the corresponding recommendation paragraph of any one e-text.
8. the method according to the description of claim 7 is characterized in that the generation target paragraph is requested, comprising:
Pop up paragraph information option；
When receiving to triggering command on the paragraph information option, according to the triggering command, the target phase is generated
Fall request.
9. the method according to the description of claim 7 is characterized in that the generation target paragraph is requested, comprising:
Choose instruction described in response, obtain the corresponding Current electronic Text Flag information of any one e-text and/or
Current user information；
According to the Current electronic Text Flag information and/or the current user information, target paragraph classification is determined；
According to the target paragraph classification, the target paragraph request is generated.
10. a kind of server, which is characterized in that the server include: acquiring unit, paragraph generation unit, determination unit and
First transmission unit；Wherein,
Acquiring unit reads data for counting the history for carrying out the generation of history marking operation at least one e-text；Institute
Stating history and reading data includes label content information corresponding with the history marking operation；
Paragraph generation unit, for determining each electronics at least one described e-text according to the label content information
The corresponding paragraph information of text, obtains at least one paragraph information；
Determination unit receives terminal to the target phase of any one e-text at least one described e-text for working as
When falling request, from least one described paragraph information, target paragraph information corresponding with target paragraph request is determined；
Transmission unit, for the target paragraph information to be pushed to the terminal.
11. server according to claim 10, which is characterized in that the label content information includes being marked by history
Content of text and the corresponding e-text identification information of the content of text；
The paragraph generation unit is specifically used for determining institute from the content of text according to the e-text identification information
State the corresponding sub- content of text of each e-text；And according to the sub- content of text, determine the paragraph information.
12. server according to claim 10, which is characterized in that the history reads data and further includes and the history
The corresponding user information of marking operation；
The paragraph generation unit is also used to determine at least one electronics text according to the label content information described
The corresponding paragraph information of each e-text, described from least one described section after obtaining at least one paragraph information in this
Fall in information, before determining corresponding with target paragraph request target paragraph information, according to the label content information with/
Or the user information, determine the paragraph classification information of each paragraph at least one described paragraph information.
13. server according to claim 12, which is characterized in that when target paragraph request includes that target category is believed
When breath, the determination unit, be specifically used for from least one described paragraph information, determine the paragraph classification information with it is described
The paragraph information of target category information matches；And the paragraph information that will be determined, as the target paragraph information.
14. server according to claim 10, which is characterized in that
The paragraph generation unit is also used to determine at least one electronics text according to the label content information described
The corresponding paragraph information of each e-text, described from least one described section after obtaining at least one paragraph information in this
It falls in information, before determining target paragraph information corresponding with target paragraph request, obtains the history marking operation
Corresponding operation species；And according to the operation species, each corresponding operation of each paragraph in the paragraph information is counted
The execution number of type；And the execution number according to each corresponding operation species of each paragraph, to the paragraph
The execution number of the same operation type of paragraph is ranked up in information, determines the corresponding paragraph sequence letter of the paragraph information
Breath obtains at least one corresponding paragraph sequencing information of at least one described paragraph information.
15. server according to claim 14, which is characterized in that
The determination unit is specifically used for according at least one described paragraph sequencing information, from least one described paragraph information
The middle determination target paragraph information.
16. a kind of server, which is characterized in that the server includes: that first processor, first memory and the first communication are total
Line, the first memory are communicated by first communication bus with the first processor, the first memory
One or more executable program of the first processor is stored, when one or more of programs are performed, is led to
It crosses the first processor and executes as the method according to claim 1 to 6.
17. a kind of terminal, which is characterized in that the terminal includes: paragraph request unit, the second transmission unit and receiving unit；
Wherein,
The paragraph request unit is used in current read interface, electric when receiving any one at least one e-text
When choosing instruction of Ziwen sheet generates target paragraph request；
Second transmission unit, for target paragraph request to be sent to server；
The receiving unit, for receiving the server for the target paragraph information of target paragraph request feedback, institute
Stating target paragraph information is the corresponding recommendation paragraph of any one described e-text.
18. terminal according to claim 17, which is characterized in that
The paragraph request unit is specifically used for pop-up paragraph information option；And works as and receive to the paragraph information option
On triggering command when, according to the triggering command, generate the target paragraph request.
19. terminal according to claim 17, which is characterized in that
It is corresponding to obtain any one described e-text specifically for choosing instruction described in response for the paragraph request unit
Current electronic Text Flag information and/or current user information；And according to the Current electronic Text Flag information and/or described
Current user information determines target paragraph classification；And according to the target paragraph classification, generate the target paragraph request.
20. a kind of terminal, which is characterized in that the terminal includes: second processor, second memory and the second communication bus,
The second memory is communicated by second communication bus with the second processor, the second memory storage
One or more executable program of the second processor passes through institute when one or more of programs are performed
It states second processor and executes such as the described in any item methods of claim 7-9.
21. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has program, answers
For realizing such as method as claimed in any one of claims 1 to 6 when described program is executed by first processor in server；Or
Person is applied in terminal, and such as claim 7 to 9 described in any item methods are realized when described program is executed by second processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811642559.9A CN109739974B (en) | 2018-12-29 | 2018-12-29 | Recommendation information acquisition method and device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811642559.9A CN109739974B (en) | 2018-12-29 | 2018-12-29 | Recommendation information acquisition method and device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109739974A true CN109739974A (en) | 2019-05-10 |
| CN109739974B CN109739974B (en) | 2021-11-02 |
Family
ID=66362582
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811642559.9A Active CN109739974B (en) | 2018-12-29 | 2018-12-29 | Recommendation information acquisition method and device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109739974B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110929017A (en) * | 2019-11-25 | 2020-03-27 | 三角兽（北京）科技有限公司 | Text recommendation method and device |
| CN111081092A (en) * | 2019-06-09 | 2020-04-28 | 广东小天才科技有限公司 | Learning content output method and learning equipment |
| CN112015887A (en) * | 2019-05-31 | 2020-12-01 | 腾讯科技（深圳）有限公司 | Data recommendation method and device based on electronic reading materials and readable storage medium |
| CN112019621A (en) * | 2020-08-28 | 2020-12-01 | 上海连尚网络科技有限公司 | Method and equipment for customizing push message |
| CN112015972A (en) * | 2019-05-31 | 2020-12-01 | 腾讯科技（深圳）有限公司 | Information recommendation method and device, electronic equipment and storage medium |
| CN113570015A (en) * | 2021-07-30 | 2021-10-29 | 重庆五洲世纪智能科技有限公司 | Online book intelligent management service system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160085816A1 (en) * | 2014-09-19 | 2016-03-24 | Kabushiki Kaisha Toshiba | Information processing apparatus, information processing system, information processing method, and recording medium |
| CN107197010A (en) * | 2017-05-17 | 2017-09-22 | 掌阅科技股份有限公司 | Content delivery method, electronic equipment and computer-readable storage medium based on e-book |
| CN107391475A (en) * | 2017-07-21 | 2017-11-24 | 掌阅科技股份有限公司 | Label information management method and electronic equipment based on e-book |
| CN108337532A (en) * | 2018-02-13 | 2018-07-27 | 腾讯科技（深圳）有限公司 | Perform mask method, video broadcasting method, the apparatus and system of segment |
| CN108540845A (en) * | 2018-03-30 | 2018-09-14 | 优酷网络技术（北京）有限公司 | Barrage method for information display and device |
-
2018
- 2018-12-29 CN CN201811642559.9A patent/CN109739974B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160085816A1 (en) * | 2014-09-19 | 2016-03-24 | Kabushiki Kaisha Toshiba | Information processing apparatus, information processing system, information processing method, and recording medium |
| CN107197010A (en) * | 2017-05-17 | 2017-09-22 | 掌阅科技股份有限公司 | Content delivery method, electronic equipment and computer-readable storage medium based on e-book |
| CN107391475A (en) * | 2017-07-21 | 2017-11-24 | 掌阅科技股份有限公司 | Label information management method and electronic equipment based on e-book |
| CN108337532A (en) * | 2018-02-13 | 2018-07-27 | 腾讯科技（深圳）有限公司 | Perform mask method, video broadcasting method, the apparatus and system of segment |
| CN108540845A (en) * | 2018-03-30 | 2018-09-14 | 优酷网络技术（北京）有限公司 | Barrage method for information display and device |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112015887A (en) * | 2019-05-31 | 2020-12-01 | 腾讯科技（深圳）有限公司 | Data recommendation method and device based on electronic reading materials and readable storage medium |
| CN112015972A (en) * | 2019-05-31 | 2020-12-01 | 腾讯科技（深圳）有限公司 | Information recommendation method and device, electronic equipment and storage medium |
| CN111081092A (en) * | 2019-06-09 | 2020-04-28 | 广东小天才科技有限公司 | Learning content output method and learning equipment |
| CN111081092B (en) * | 2019-06-09 | 2022-03-25 | 广东小天才科技有限公司 | Learning content output method and learning equipment |
| CN110929017A (en) * | 2019-11-25 | 2020-03-27 | 三角兽（北京）科技有限公司 | Text recommendation method and device |
| CN110929017B (en) * | 2019-11-25 | 2023-07-14 | 腾讯科技（深圳）有限公司 | Text recommendation method and device |
| CN112019621A (en) * | 2020-08-28 | 2020-12-01 | 上海连尚网络科技有限公司 | Method and equipment for customizing push message |
| CN113570015A (en) * | 2021-07-30 | 2021-10-29 | 重庆五洲世纪智能科技有限公司 | Online book intelligent management service system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109739974B (en) | 2021-11-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109739974A (en) | A kind of recommendation information acquisition methods and device, storage medium | |
| Tatar et al. | From popularity prediction to ranking online news | |
| CN102541590B (en) | A kind of software recommendation method and commending system | |
| CN105320766B (en) | Information-pushing method and device | |
| EP2375351B1 (en) | System and method for recommending interesting content in an information stream | |
| CN102073699B (en) | For improving the method for Search Results, device and equipment based on user behavior | |
| WO2018130220A1 (en) | Message pushing method and device, and programmable device | |
| JP6224731B2 (en) | Method and apparatus for enriching social media to improve personal user experience | |
| US20120167010A1 (en) | Continuous content refinement of topics of user interest | |
| WO2015135353A1 (en) | Search method, system, and device | |
| WO2014173168A1 (en) | Application software displaying method and device | |
| CN108763519A (en) | The recommendation method, apparatus and readable storage medium storing program for executing of reading | |
| CN106021449A (en) | Searching method and device for mobile terminal and mobile terminal | |
| WO2012060866A1 (en) | Determination of category information using multiple stages | |
| US10061806B2 (en) | Presenting previously selected search results | |
| CN108228720B (en) | Identify method, system, device, terminal and the storage medium of target text content and original image correlation | |
| CN103023753A (en) | Method, client-side and system for interactive content correlation output in instant messaging interaction | |
| CN112136127A (en) | Action indicator for search operation output element | |
| CN108228906A (en) | For generating the method and apparatus of information | |
| CN106897398B (en) | Video display method and device | |
| CN103729356A (en) | Webpage address prompting method and device | |
| CN109241437A (en) | A kind of generation method, advertisement recognition method and the system of advertisement identification model | |
| US10909170B2 (en) | Method for processing and rendering feed-like based images for mobile devices | |
| CN104281619A (en) | System and method for ordering search results | |
| KR101346927B1 (en) | Search device, search method, and computer-readable memory medium for recording search program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |