CN109388708A - A kind of personalized customization authoring system - Google Patents

A kind of personalized customization authoring system Download PDF

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CN109388708A
CN109388708A CN201810619317.1A CN201810619317A CN109388708A CN 109388708 A CN109388708 A CN 109388708A CN 201810619317 A CN201810619317 A CN 201810619317A CN 109388708 A CN109388708 A CN 109388708A
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information
user
module
reading
push
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CN109388708B (en
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金利杰
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Sky Yi (beijing) Information Technology Co Ltd
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Sky Yi (beijing) Information Technology Co Ltd
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Abstract

The present invention provides a kind of personalized customization authoring systems, comprising: module is obtained, for obtaining the reading habit and reading content of active user, and for obtaining information from Internet channel;Analysis module for analyzing the reading habit and reading content, and forms the reading aspects of user accordingly;Memory module, for storing the reading aspects and reading content of the user, and the information that storage is obtained from Internet channel;Extraction module extracts the information to match with user's reading aspects for the reading aspects according to user from memory module;Categorization module, for the information content of extraction to be classified according to user's reading aspects;Comprehensive writing module generates the article after a comprehensive writing for every a kind of information for sorted information to be carried out to comprehensive writing processing respectively respectively;Pushing module, for the article integrated after writing to be carried out push displaying.It is advantageously implemented user and quickly and efficiently obtains the information for meeting its reading aspects automatically.

Description

A kind of personalized customization authoring system
Technical field
The present invention relates to information field more particularly to a kind of personalized customization authoring systems.
Background technique
Currently, one is passive accepting methods there are two types of the mode for the mode that user obtains information is general: receiving and consult The information being pushed;Another kind is active way of search: desired information is obtained by keyword search;But two kinds of information obtain The mode defect of taking is, two ways user requires at one one points and open several different linkings to go to consult.And active way of search is also User is needed to have certain retrieval capability.Therefore user is not easy quickly and effectively automatically to obtain the information for meeting user personality.
Therefore, a kind of personalized customization authoring system is needed at present, is met with realizing that user quickly and efficiently obtains automatically The information of its reading aspects.
Summary of the invention
In view of this, the application provides a kind of personalized customization authoring system, it is advantageously implemented user quickly and efficiently certainly It is dynamic to obtain the information for meeting its reading aspects.
A kind of personalized customization authoring system provided by the present application, comprising:
Module is obtained, is provided for obtaining the reading habit and reading content of active user, and for being obtained from Internet channel News;
Analysis module for analyzing the reading habit and reading content, and forms the reading aspects of user accordingly;
Memory module, for storing the reading habit and reading content of the user, and storage is obtained from Internet channel Information;
Extraction module extracts from the memory module for the reading aspects according to user and reads spy with the user Levy the information to match;
Categorization module, for the information content of extraction to be classified according to user's reading aspects;
Comprehensive writing module, for sorted information to be carried out to comprehensive writing processing respectively, for every a kind of information point It Sheng Cheng not article after a comprehensive writing;
Pushing module, for the article after the comprehensive writing to be carried out push displaying.
By upper, the application obtains relevant information type and information content according to the reading aspects of user, for every one kind Information generates the article after a comprehensive writing respectively, and is pushed to user, to be advantageously implemented user quickly and efficiently It is automatic to obtain the information for meeting its reading aspects.
Preferably, the system also includes:
Selecting module, for providing selectable information type;Be also used to according to the information type of selection obtain with it is described Information type distinguishes relevant information;And categorization module is sent by the relevant information of the information type.
By upper, user can choose the information type of oneself hobby, and the corresponding information of information type selected can be defeated It is sent to categorization module, the information content of extraction is classified according to user's reading aspects by categorization module;And pass through synthesis Writing module carries out being pushed to user by pushing module after comprehensive writing.
Preferably, the selecting module is also used to receive the information of user's selection, and sends the information that user selects to Categorization module.
By upper, user can directly select the information of oneself hobby, and the information selected is transported to categorization module, lead to It crosses categorization module and the information content of extraction is classified according to user's reading aspects;And it is integrated by comprehensive writing module User is pushed to by pushing module after writing.
Preferably, the system also includes:
Update module for obtaining the newest reading habit and reading content of user in real time, and will be sent to analysis mould Block;And for obtaining information in real time from Internet channel, and send it to memory module.
By upper, the newest reading habit of user and reading content can be obtained by the update module in real time, and will It is sent to analysis module, so that the reading aspects of user (can avoid the reading aspects of user from being consolidated by updating in real time Change), which is also used to obtain information from network from Internet channel in real time, to sum up finally to be pushed to the comprehensive of user Article after conjunction is best suitable for user's reading aspects.
Preferably, the reading aspects of the user include: time, the place, information topic type that user preferences are read;With And user in different times, place hobby read information topic type.
Preferably, the extraction module, is specifically used for:
According to the information topic type of user preferences, the information topic class with user preferences is extracted from the memory module The information that type matches.
By upper, from memory module propose to obtain from various channels matches with the information topic types of user preferences Information.
Preferably, the categorization module, is specifically used for:
According to user in different times, the information topic type read of place hobby, be respectively to match by information classification Different time, place information type;And be used in same time, place, according to the difference of information topic type to money News are classified.
By upper, each information is classified according to the reading aspects of user, to be conducive to preferably carry out for user Push.
Preferably, the pushing module includes:
Submodule is set, for providing the setting options of the push form to the article after comprehensive writing;Wherein, described to push away The setting options for sending form include:
The setting options of habit automatic push are browsed according to user's history;
Push the time, push place, push topic type setting options.
Wherein, described to include: according to user's history browsing habit automatic push
According to user in different times, the information topic type read of place hobby, the article after comprehensive writing is existed Corresponding time, place carry out automatically push to user terminal and show;
The pushing module further include:
Show submodule, for when according to user's history browse habit automatic push setting options selected when, according to User in different times, the information topic type read of place hobby, by the article after comprehensive writing the corresponding time, Point carries out automatically push to user terminal and shows;
And for when push the time, push place, push the setting options of topic type selected when, according to selection The push time, push place, push topic type be pushed to the user displaying.
By upper, according to article of the reading habit of the user push after comprehensive, it is quickly and efficiently automatic to advantageously allow user Obtain the information for meeting user's history browsing habit.And user can also be according to oneself current hobby push time, push Place, push topic type, to obtain corresponding push.
Preferably, the pushing module, after being also used to carry out corresponding comprehensive writing according to the push time of setting The push of article.
By upper, the setting corresponding push time can also be needed to carry out automatic push according to reading.
Preferably, the comprehensive writing module, comprising:
Information association submodule obtains every a kind of information for every a kind of information for sorted information respectively The inner link of information data carries out information association to the information data;
Data extracting sub-module is handled for the information after the information association for every a kind of information to extract and meet The information segment of specified content value standard;
Article generates submodule, and the associated information segment for obtaining to the data inquiry module carries out processing generation The article after a comprehensive writing is generated respectively for every a kind of information;
Wherein, the article generates submodule, is specifically used for, for every a kind of information, respectively:
A, the knowledge mapping of graph-based is formed according to the knowledge connection of the content value of relevant information segment;Its In, the node in the map indicates content value point, and the line between point in the map indicates the pass between content value point Connection relationship;
B, using any content value point in the knowledge mapping as starting point, according to the connection between the point in the map Relationship traverses the content value point in the map, is formed with obtaining the optimal connection relationship by between content value point and point Path;
C, the article after a comprehensive writing is generated according to the corresponding information segment in the path.
By upper, the above-mentioned technical characteristic of the application be can be generated respectively for more after the comprehensive writing of every a kind of information Article.
Preferably, the selecting module also provides for selectable other user's reading aspects portraits;
When other user's reading aspects portrait is selected:
The acquisition module is also used to obtain the reading habit and reading content of other users;
The analysis module, is also used to analyze the reading habit and reading content of other users, and forms other use accordingly The reading aspects at family;
The memory module is also used to store the reading aspects and reading content of the other users;
The extraction module is also used to the reading aspects according to other users, from the memory module extract and other The information that user's reading aspects match;
The categorization module is also used to that the information content of extraction is classified according to other users reading aspects;
The comprehensive writing module is also used to respectively carry out the sorted information of other users comprehensive writing processing, needle Article after one comprehensive writing is generated respectively to every a kind of information;
The pushing module, article after the comprehensive writing of information for being also used to that other users will be browsed to active user into Row push is shown.
By upper, push after comprehensive writing by the information for reading other user preferences, active user can be with By article of the browsing after comprehensive, the content for the information that other users hobby is read can be quickly obtained.
In conclusion a kind of personalized customization authoring system provided by the present application, obtains phase according to the reading aspects of user The information type and information content of pass generate the article after a comprehensive writing for every a kind of information respectively, and are pushed to User, so that be advantageously implemented user quickly and efficiently obtains the information for meeting its reading aspects automatically.And user can be with The information type or information for selecting oneself to like pass through comprehensive writing module and be pushed to after integrating writing by pushing module User.And timing can also be set and pushed, furthermore it is also possible to the information for as needed reading the hobby of the reading of other users Active user's browsing is sent to after carrying out integrated treatment.Want to be advantageously implemented user and quickly and efficiently obtain it automatically The information of browsing.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the personalized customization authoring system of the embodiment of the present application.
Specific embodiment
The application is illustrated below in conjunction with the attached drawing in the embodiment of the present application.
Embodiment one
A kind of personalized customization authoring system provided by the present application, comprising:
Module 100 is obtained, for obtaining the reading habit (including reading time and reading place) of active user and reading Content, and the information for being obtained from Internet channel;Wherein, from Internet channel obtain information include: acquisition different time, Different type, the data in different channels source;Or obtain specified time, specified type and or specified channel source number According to.By upper, data obtain Shi Jike with the acquisition (data of acquisition are more comprehensive extensively) of without differences, also can according to need Obtain specified time, specified type and or specified channel source data (obtain data it is targeted, subsequent processing is more rapidly It is convenient).In addition, its can also by certain algorithm, strategy carry out crawl, for example, be directed to hot topic degree/concern in different time periods Degree is more than that the information of setting value is crawled.Analysis module 200, for analyzing the reading habit and reading content, and accordingly Form the reading aspects of user;Wherein, the reading aspects of the user include: time, the place, information words that user preferences are read Inscribe type;And user in different times, place hobby read information topic type.
Memory module 300, for storing the reading aspects and reading content of the user, and storage is obtained from Internet channel The information taken.
Extraction module 400 is extracted from the memory module and is read with the user for the reading aspects according to user The information that feature matches;Wherein, the extraction module 400, is specifically used for: according to the information topic type of user preferences, from The information to match with the information topic type of user preferences is extracted in the memory module.
Categorization module 500, for the information content of extraction to be classified according to user's reading aspects;Wherein, described point Generic module 500, is specifically used for: according to user in different times, place hobby read information topic type, by information classification For the information type for matching different time, place respectively;And be used in same time, place, according to information topic type Difference classify to information.
Comprehensive writing module 600, for sorted information to be carried out to comprehensive writing processing respectively, for every a kind of information Article after generating a comprehensive writing respectively;The synthesis writing module 600 specifically includes:
Information association submodule obtains every a kind of information for every a kind of information for sorted information respectively The inner link of information data carries out information association to the information data;Inner link herein is information content description Connection between event, personage, place or event type.This connection is determined by neural network model algorithm, can be people Class reader or editor understand and accept.
Data extracting sub-module is handled for the information after the information association for every a kind of information to extract and meet The information segment of specified content value standard;Wherein, neural network model of the judgement of content value based on the training of magnanimity corpus Processing.Correlation model is continuously trained by the machine learning system of unsupervised learning mode.The internal data of content value is retouched It states as the high-dimensional mathematical model based on contents semantic, the value parameter being related to includes event described in information content, participates in Or related person, venue location point, time, event progress, the background of event etc..
Article generates submodule, and the associated information segment for obtaining to the data inquiry module carries out processing generation The article after a comprehensive writing is generated respectively for every a kind of information.It is specifically used for:
A, the knowledge mapping of graph-based is formed according to the knowledge connection of the content value of the relevant information segment; Wherein, the node in the map indicates content value point, and the line between point in the map indicates between content value point Incidence relation;Wherein, the knowledge connection between content value is formed by neural network model comprehensive analysis, for example, being directed to The attack of terrorism that 2018/04/23 minivan in Toronto occurred causes, system mention big by learning Brand-new information content is measured, " VAN " this usually very common phrase and Canada is understood, terrorist, terrorist incident, fears Being afraid of to attack is associated.This learning process has updated the connotation and extension of this word of van.
B, using any content value point in the knowledge mapping as starting point, according to the connection between the point in the map Relationship traverses the content value point in the map, is formed with obtaining the optimal connection relationship by between content value point and point Path;
C, the article after a comprehensive writing is generated according to the corresponding information segment in the path, and will be after synthesis writing Article shows user.
Wherein, the optimal standard in B can be related to: the fluency of the linking between sentence and paragraph, and vocabulary enriches Length (the unsuitable too long or mistake of the length of Domestic News class article of degree (article word is abundant, this score can be relatively high), article It is short), relative density (broad covered area, and article is succinct, score is relatively high), richness (covering theme is more, and score is higher) etc..
Pushing module 700, for the article after the comprehensive writing to be carried out push displaying.Wherein, the pushing module 700, including setting submodule, for providing the setting options of the push form to the article after comprehensive writing;Wherein, described to push away The setting options for sending form include:
The setting options of habit automatic push are browsed according to user's history;
Push the time, push place, push topic type setting options.
Wherein, described to include: according to user's history browsing habit automatic push
According to user in different times, the information topic type read of place hobby, the article after comprehensive writing is existed Corresponding time, place carry out automatically push to user terminal and show;
The pushing module further include:
Show submodule, for when according to user's history browse habit automatic push setting options selected when, according to User in different times, the information topic type read of place hobby, by the article after comprehensive writing the corresponding time, Point carries out automatically push to user terminal and shows;
And for when push the time, push place, push the setting options of topic type selected when, according to selection The push time, push place, push topic type be pushed to the user displaying.
Wherein, the system also includes:
Selecting module 800, for providing selectable information type;It is also used to according to the acquisition of the information type of selection and institute It states information type and distinguishes relevant information;And categorization module is sent by the relevant information of the information type.User can as a result, With the information type for selecting oneself to like, the corresponding information of information type selected can be transported to categorization module, by dividing Generic module classifies the information content of extraction according to user's reading aspects;And comprehensive writing is carried out by comprehensive writing module User is pushed to by pushing module afterwards.
Wherein, the selecting module 800 is also used to receive the information of user's selection, and the information of user's selection is sent To categorization module.User can directly select the information of oneself hobby as a result, and the information selected is transported to classification mould Block is classified the information content of extraction according to user's reading aspects by categorization module;And by comprehensive writing module into User is pushed to by pushing module after the comprehensive writing of row.
Wherein, the system also includes:
Update module 900 for obtaining the newest reading habit and reading content of user in real time, and will be sent to analysis Module;And for obtaining information in real time from Internet channel, and send it to memory module.Pass through the update mould as a result, Block 900 can obtain the newest reading habit of user and reading content in real time, and send it to analysis module, so that handy The reading aspects at family can be updated (reading aspects of user is avoided to be cured) in real time, which is also used in real time It obtains information from network from Internet channel, the article after to sum up making the synthesis for being finally pushed to user is to be best suitable for user's reading Feature.
Wherein, the selecting module 800 also provides for selectable other user's reading aspects portraits;When other User's reading aspects portrait when being selected;
The acquisition module 100, is also used to obtain the reading habit and reading content of other users;
The analysis module 200, is also used to analyze the reading habit and reading content of other users, and forms other accordingly The reading aspects of user;
The memory module 300 is also used to store the reading aspects and reading content of the other users;
The extraction module 400, is also used to the reading aspects according to other users, from the memory module extract and its The information that his user's reading aspects match;
The categorization module 500 is also used to that the information content of extraction is classified according to other users reading aspects;
The comprehensive writing module 600 is also used to respectively carry out the sorted information of other users comprehensive writing processing, The article after a comprehensive writing is generated respectively for every a kind of information;
The pushing module 700 is also used to that the article after the information synthesis writing that other users browse will be used to current Family carries out push displaying.
Push after comprehensive writing by the information for reading other user preferences as a result, active user can be with By article of the browsing after comprehensive, the application can also allow users to quickly obtain the information that other users hobby is read Content.
In conclusion a kind of personalized customization authoring system provided by the present application, obtains phase according to the reading aspects of user The information type and information content of pass generate the article after a comprehensive writing for every a kind of information respectively, and are pushed to User, so that be advantageously implemented user quickly and efficiently obtains the information for meeting its reading aspects automatically.And user can be with The information type or information for selecting oneself to like pass through comprehensive writing module and be pushed to after integrating writing by pushing module User.And timing can also be set and pushed, furthermore it is also possible to the information for as needed reading the hobby of the reading of other users Active user's browsing is sent to after carrying out integrated treatment.Want to be advantageously implemented user and quickly and efficiently obtain it automatically The information of browsing.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of personalized customization authoring system characterized by comprising
Module is obtained, for obtaining the reading habit and reading content of active user, and for obtaining information from Internet channel;
Analysis module for analyzing the reading habit and reading content, and forms the reading aspects of user accordingly;
Memory module, for storing the reading habit and reading content of the user, and the money that storage is obtained from Internet channel News;
Extraction module extracts and user's reading aspects phase from the memory module for the reading aspects according to user Matched information;
Categorization module, for the information content of extraction to be classified according to user's reading aspects;
Comprehensive writing module is given birth to for sorted information to be carried out to comprehensive writing processing respectively for every a kind of information respectively At the article after a comprehensive writing;
Pushing module, for the article after the comprehensive writing to be carried out push displaying.
2. system according to claim 1, which is characterized in that further include:
Selecting module, for providing selectable information type;It is also used to be obtained and the information according to the information type of selection The relevant information of type;And categorization module is sent by the relevant information of the information type.
3. system according to claim 1, which is characterized in that the selecting module is also used to receive the money of user's selection News, and categorization module is sent by the information that user selects.
4. system according to claim 1, which is characterized in that further include:
Update module for obtaining the newest reading habit and reading content of user in real time, and will be sent to analysis module;With And for obtaining information in real time from Internet channel, and send it to memory module.
5. system according to claim 1, which is characterized in that the reading aspects of the user include: that user preferences are read Time, place, information topic type;And user in different times, place hobby read information topic type.
6. system according to claim 1, which is characterized in that the extraction module is specifically used for:
According to the information topic type of user preferences, the information topic type phase with user preferences is extracted from the memory module Matched information.
7. system according to claim 5, which is characterized in that the categorization module is specifically used for:
According to user in different times, the information topic type read of place hobby, be that matching is different respectively by information classification Time, place information type;And in same time, place, according to information topic type it is different to information into Row classification.
8. system according to claim 5, which is characterized in that the pushing module includes:
Submodule is set, for providing the setting options of the push form to the article after comprehensive writing;Wherein, the push shape The setting options of formula include:
The setting options of habit automatic push are browsed according to user's history;
Push the time, push place, push topic type setting options.
Wherein, described to include: according to user's history browsing habit automatic push
According to user in different times, the information topic type read of place hobby, by the article after comprehensive writing corresponding Time, place to user terminal carry out automatically push show;
The pushing module further include:
Show submodule, for when according to user's history browse habit automatic push setting options selected when, according to user In different times, the information topic type that place hobby is read, by the article after comprehensive writing the corresponding time, place to User terminal carries out automatically push and shows;
And for when push the time, push place, push the setting options of topic type selected when, according to pushing away for selection The topic type of time, push place, push is sent to be pushed to the user displaying.
9. system according to claim 1, which is characterized in that the comprehensive writing module, comprising:
Information association submodule obtains the information of every a kind of information for every a kind of information for sorted information respectively The inner link of data carries out information association to the information data;
Data extracting sub-module, handled for the information after the information association for every a kind of information with extract meet it is specified The information segment of content value standard;
Article generates submodule, and the associated information segment for obtaining to the data inquiry module carries out processing generation and is directed to Every one kind information generates the article after a comprehensive writing respectively;
Wherein, the article generates submodule, is specifically used for, for every a kind of information, respectively:
A, the knowledge mapping of graph-based is formed according to the knowledge connection of the content value of relevant information segment;Wherein, institute Stating the node in map indicates content value point, and the line between point in the map indicates that the association between content value point is closed System;
B, it using any content value point in the knowledge mapping as starting point, is closed according to the connection between the point in the map System, traverses the content value point in the map, is formed with obtaining the optimal connection relationship by between content value point and point Path;
C, the article after a comprehensive writing is generated according to the corresponding information segment in the path.
10. -9 described in any item systems according to claim 1, it is characterised in that:
The selecting module also provides for selectable other user's reading aspects portraits;
When other user's reading aspects portrait is selected:
The acquisition module is also used to obtain the reading habit and reading content of other users;
The analysis module is also used to analyze the reading habit and reading content of other users, and forms other users accordingly Reading aspects;
The memory module is also used to store the reading aspects and reading content of the other users;
The extraction module is also used to the reading aspects according to other users, extraction and other users from the memory module The information that reading aspects match;
The categorization module is also used to that the information content of extraction is classified according to other users reading aspects;
The comprehensive writing module is also used to respectively carry out the sorted information of other users comprehensive writing processing, for every A kind of information generates the article after a comprehensive writing respectively;
The pushing module is also used to push away the article after the comprehensive writing of the information for browsing other users to active user Putting on display is shown.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110245339A (en) * 2019-06-20 2019-09-17 北京百度网讯科技有限公司 Article generation method, device, equipment and storage medium
CN111866079A (en) * 2020-06-19 2020-10-30 云天弈(广州)智能科技有限公司 Financial information pushing system and method

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090037814A1 (en) * 2003-12-29 2009-02-05 International Business Machines Corporation Graphical User Interface (GUI) Script Generation and Documentation
CN102831220A (en) * 2012-08-23 2012-12-19 江苏物联网研究发展中心 Subject-oriented customized news information extraction system
US20130141253A1 (en) * 2011-12-06 2013-06-06 Sigma Space Corporation Method for traffic monitoring and secure processing of trafic violations
CN104054075A (en) * 2011-12-06 2014-09-17 派赛普申合伙公司 Text mining, analysis and output system
CN104765842A (en) * 2015-04-15 2015-07-08 中山大学 Optimum study scheme pushing method and system
CN105760495A (en) * 2016-02-17 2016-07-13 扬州大学 Method for carrying out exploratory search for bug problem based on knowledge map
CN106777364A (en) * 2017-01-22 2017-05-31 竹间智能科技(上海)有限公司 Artificial intelligence response method and device that topic drives
CN106844322A (en) * 2017-01-22 2017-06-13 百度在线网络技术(北京)有限公司 Intelligent article generation method and device
CN107943774A (en) * 2017-11-20 2018-04-20 北京百度网讯科技有限公司 article generation method and device
CN108153723A (en) * 2017-12-27 2018-06-12 北京百度网讯科技有限公司 Hot spot information comment generation method, device and terminal device

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090037814A1 (en) * 2003-12-29 2009-02-05 International Business Machines Corporation Graphical User Interface (GUI) Script Generation and Documentation
US20130141253A1 (en) * 2011-12-06 2013-06-06 Sigma Space Corporation Method for traffic monitoring and secure processing of trafic violations
CN104054075A (en) * 2011-12-06 2014-09-17 派赛普申合伙公司 Text mining, analysis and output system
CN102831220A (en) * 2012-08-23 2012-12-19 江苏物联网研究发展中心 Subject-oriented customized news information extraction system
CN104765842A (en) * 2015-04-15 2015-07-08 中山大学 Optimum study scheme pushing method and system
CN105760495A (en) * 2016-02-17 2016-07-13 扬州大学 Method for carrying out exploratory search for bug problem based on knowledge map
CN106777364A (en) * 2017-01-22 2017-05-31 竹间智能科技(上海)有限公司 Artificial intelligence response method and device that topic drives
CN106844322A (en) * 2017-01-22 2017-06-13 百度在线网络技术(北京)有限公司 Intelligent article generation method and device
CN107943774A (en) * 2017-11-20 2018-04-20 北京百度网讯科技有限公司 article generation method and device
CN108153723A (en) * 2017-12-27 2018-06-12 北京百度网讯科技有限公司 Hot spot information comment generation method, device and terminal device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
LV HAIYAN 等: "The Research on the Automatic Generation of Microblog User Tags Based on Clustering Analysis", 《2014 IEEE 5TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE》 *
赵锐: "基于人物角色事件的传记生成方法研究", 《中国优秀博硕士学位论文全文数据库(硕士)信息科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110245339A (en) * 2019-06-20 2019-09-17 北京百度网讯科技有限公司 Article generation method, device, equipment and storage medium
CN111866079A (en) * 2020-06-19 2020-10-30 云天弈(广州)智能科技有限公司 Financial information pushing system and method

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