CN108270815A - Hot information supplying system - Google Patents
Hot information supplying system Download PDFInfo
- Publication number
- CN108270815A CN108270815A CN201611262988.4A CN201611262988A CN108270815A CN 108270815 A CN108270815 A CN 108270815A CN 201611262988 A CN201611262988 A CN 201611262988A CN 108270815 A CN108270815 A CN 108270815A
- Authority
- CN
- China
- Prior art keywords
- user
- browsing
- type
- data
- behavior
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Information Transfer Between Computers (AREA)
Abstract
Present invention is disclosed a kind of hot information supplying system, the hot information supplying system includes：Network user's taxon, user's browsing content acquiring unit, hot spot push unit；Network user's taxon includes user behavior acquisition module, user behavior data library, behavioral data comparing module, behavioral data analysis module；User's browsing content acquiring unit is to obtain the browsing information of corresponding types user, including browsing pages content, browsing time length；Data of the browsing time less than setting time are filtered out, and count the type of remaining browsing content, therefrom obtain the preference type of the type user and the Hot Contents of the type；The data that the hot spot push unit is obtained according to user's browsing content acquiring unit are pushed for the type user.Hot information supplying system proposed by the present invention can classify user according to the behavior of user, and do accurately information push for the type user.
Description
Technical field
The invention belongs to technical field of the computer network, are related to a kind of information transmission system more particularly to a kind of hot spot letter
Cease supplying system.
Background technology
With the high speed development of internet, the requirement in terms of advertisement, news push to user preferences acquisition is higher and higher；So
And the mode that existing advertisement, news push obtain hobby is fairly simple, it is impossible to search out target user well.
In view of this, nowadays there is an urgent need to design a kind of new network user's mode classification, to overcome existing classification side
Drawbacks described above existing for formula.
Invention content
The technical problems to be solved by the invention are：A kind of hot information supplying system is provided, it can be according to the behavior of user
User is classified, and accurately information push is done for the type user.
In order to solve the above technical problems, the present invention adopts the following technical scheme that：
A kind of hot information supplying system, the hot information supplying system include：Network user's taxon, user are clear
Look at contents acquiring unit, hot spot push unit；
Network user's taxon includes user behavior acquisition module, user behavior data library, behavioral data comparison
Module, behavioral data analysis module；
The user behavior acquisition module is obtaining user behavior data；
The user behavior data library is storing user behavior data；
The behavioral data comparing module is to the user behavior data for obtaining the user behavior acquisition module and institute
It states the user behavior data stored in user behavior data library to be compared, similarity highest is obtained from user behavior data library
User behavior data；
The behavioral data analysis module is being that corresponding user classifies according to the comparison result of behavioral data comparing module；
User's browsing content acquiring unit is to obtain the browsing information of corresponding types user, including in browsing pages
Hold, browsing time length；Data of the browsing time less than setting time are filtered out, and count the type of remaining browsing content, therefrom
Obtain the preference type of the type user and the Hot Contents of the type；
The data that the hot spot push unit is obtained according to user's browsing content acquiring unit are pushed for the type user.
As a preferred embodiment of the present invention, the user behavior acquisition module to obtain the search behavior of user,
The behavior of the immediate communication tool of webpage behavior, the application of browsing.
The beneficial effects of the present invention are：Hot information supplying system proposed by the present invention can be incited somebody to action according to the behavior of user
User classifies, and does accurately information push for the type user.
Description of the drawings
Fig. 1 is the composition schematic diagram of hot information supplying system of the present invention.
Fig. 2 is the composition schematic diagram of inventive network user's taxon.
Specific embodiment
The preferred embodiment that the invention will now be described in detail with reference to the accompanying drawings.
Embodiment one
Referring to Fig. 1, present invention is disclosed a kind of hot information supplying system, the hot information supplying system includes：
Network user's taxon 10, user's browsing content acquiring unit 20, hot spot push unit 30.
Network user's taxon 10 for the network user classifying.
User's browsing content acquiring unit 20 is to obtain the browsing information of corresponding types user, including browsing pages
Content, browsing time length；Data of the browsing time less than setting time are filtered out, and count the type of remaining browsing content, from
The Hot Contents of the middle preference type and the type for obtaining the type user；
The data that the hot spot push unit 30 is obtained according to user's browsing content acquiring unit are pushed away for the type user
It send.
Referring to Fig. 2, network user's taxon includes：User behavior acquisition module 1, user behavior data library 2, behavior
Data comparing module 3, behavioral data analysis module 4.
The user behavior acquisition module 1 is obtaining user behavior data；Specifically, the user behavior acquisition module
To obtain the behavior of the immediate communication tool of the webpage behavior of the search behavior of user, browsing, application.
The user behavior data library 2 is storing user behavior data.
The behavioral data comparing module 3 is to the user behavior data for obtaining the user behavior acquisition module and institute
It states the user behavior data stored in user behavior data library to be compared, similarity highest is obtained from user behavior data library
User behavior data.
The behavioral data analysis module 4 is being corresponding user point according to the comparison result of behavioral data comparing module
Class.
In conclusion hot information supplying system proposed by the present invention, can classify user according to the behavior of user,
And do accurately information push for the type user.
Here description of the invention and application are illustrative, are not wishing to limit the scope of the invention to above-described embodiment
In.The deformation and change of embodiments disclosed herein are possible, real for those skilled in the art
The replacement and equivalent various parts for applying example are well known.It should be appreciated by the person skilled in the art that not departing from the present invention
Spirit or essential characteristics in the case of, the present invention can in other forms, structure, arrangement, ratio and with other components,
Material and component are realized.In the case where not departing from scope and spirit of the present invention, can to embodiments disclosed herein into
The other deformations of row and change.
Claims (2)
1. a kind of hot information supplying system, which is characterized in that the hot information supplying system includes：Network user's grouping sheet
Member, user's browsing content acquiring unit, hot spot push unit；
Network user's taxon include user behavior acquisition module, user behavior data library, behavioral data comparing module,
Behavioral data analysis module；
The user behavior acquisition module is obtaining user behavior data；
The user behavior data library is storing user behavior data；
The behavioral data comparing module is to the user behavior data for obtaining the user behavior acquisition module and the use
The user behavior data stored in the behavior database of family is compared, and the highest use of similarity is obtained from user behavior data library
Family behavioral data；
The behavioral data analysis module is being that corresponding user classifies according to the comparison result of behavioral data comparing module；
User's browsing content acquiring unit to obtain the browsing information of corresponding types user, including browsing pages content,
Browsing time length；Data of the browsing time less than setting time are filtered out, and count the type of remaining browsing content, are therefrom obtained
The preference type of the type user and the Hot Contents of the type；
The data that the hot spot push unit is obtained according to user's browsing content acquiring unit are pushed for the type user.
2. hot information supplying system according to claim 1, it is characterised in that：
The user behavior acquisition module to obtain the search behavior of user, browsing webpage behavior, application instant messaging
The behavior of tool.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611262988.4A CN108270815A (en) | 2016-12-30 | 2016-12-30 | Hot information supplying system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611262988.4A CN108270815A (en) | 2016-12-30 | 2016-12-30 | Hot information supplying system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108270815A true CN108270815A (en) | 2018-07-10 |
Family
ID=62753857
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611262988.4A Pending CN108270815A (en) | 2016-12-30 | 2016-12-30 | Hot information supplying system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108270815A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184199A (en) * | 2011-04-22 | 2011-09-14 | 北京志腾新诺科技有限公司 | Network information recommending method and system |
| CN102930041A (en) * | 2012-11-12 | 2013-02-13 | 江苏外博资讯有限公司 | Retrieval result real-time updating method based on user behavior information and system thereof |
| CN103177384A (en) * | 2013-04-16 | 2013-06-26 | 高鹏 | Network advertisement putting method based on user interest spectrum |
| US20150381750A1 (en) * | 2011-06-03 | 2015-12-31 | Facebook, Inc. | Überfeed |
-
2016
- 2016-12-30 CN CN201611262988.4A patent/CN108270815A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184199A (en) * | 2011-04-22 | 2011-09-14 | 北京志腾新诺科技有限公司 | Network information recommending method and system |
| US20150381750A1 (en) * | 2011-06-03 | 2015-12-31 | Facebook, Inc. | Überfeed |
| CN102930041A (en) * | 2012-11-12 | 2013-02-13 | 江苏外博资讯有限公司 | Retrieval result real-time updating method based on user behavior information and system thereof |
| CN103177384A (en) * | 2013-04-16 | 2013-06-26 | 高鹏 | Network advertisement putting method based on user interest spectrum |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114416999B (en) | Hierarchical classifiers for image and text data | |
| CN102682124B (en) | Emotion classifying method and device for text | |
| CN104239331B (en) | A kind of method and apparatus for realizing comment search engine sequence | |
| CN103577534B (en) | Searching method and search engine | |
| CN107315759A (en) | Sort out method, device and processing system, the method for generating classification model of keyword | |
| CN105701498A (en) | User classification method and server | |
| EP3276509A1 (en) | Automatic detection and transfer of relevant image data to content collections | |
| Lau et al. | unimelb: Topic modelling-based word sense induction for web snippet clustering | |
| CN101593204A (en) | A Sentiment Analysis System Based on News Comment Webpage | |
| WO2016000555A1 (en) | Methods and systems for recommending social network-based content and news | |
| CN101393555A (en) | A Spam Blog Detection Method | |
| CN116882414B (en) | Automatic comment generation method and related device based on large-scale language model | |
| CN108364199A (en) | A kind of data analysing method and system based on Internet user's comment | |
| US9449231B2 (en) | Computerized systems and methods for generating models for identifying thumbnail images to promote videos | |
| CN100527132C (en) | Classified sample set optimizing method and content-related advertising server | |
| CN105224548A (en) | A kind of page display method, device and server | |
| US9280522B2 (en) | Highlighting of document elements | |
| CN103324742A (en) | Method and equipment for recommending keywords | |
| JP5199768B2 (en) | Tagging support method and apparatus, program, and recording medium | |
| CN106686086A (en) | Message pushing method and apparatus | |
| CN103020141A (en) | Method and equipment for providing searching results | |
| CN108268479A (en) | A kind of hot information method for pushing | |
| Shrivastava et al. | Opinion extraction and classification of real time Facebook status | |
| Perifanos | Gender identification in Modern Greek tweets | |
| US11302048B2 (en) | Computerized system and method for automatically generating original memes for insertion into modified messages |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180710 |
|
| RJ01 | Rejection of invention patent application after publication |