Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Knowledge Document Recommendation Method Based on User Historical Behavior Characteristics

A recommendation method and user's technology, applied in special data processing applications, instruments, calculations, etc., can solve problems such as difficult models, the system cannot build models, and knowledge is unread.

Active Publication Date: 2017-02-15
STATE GRID CORP OF CHINA +2
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this approach is that it depends on the user group, also known as "cold start", that is, when a system is just started and there are only a few users, the system cannot build an effective model
And if an article has not been read by users for a long time, it is difficult to use this model to recommend it to users no matter how high the knowledge value of this article is.
[0004] This solution urgently needs to solve the problem that no one reads the large amount of knowledge accumulated in the enterprise, and new employees cannot find the relevant knowledge.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Knowledge Document Recommendation Method Based on User Historical Behavior Characteristics
  • A Knowledge Document Recommendation Method Based on User Historical Behavior Characteristics
  • A Knowledge Document Recommendation Method Based on User Historical Behavior Characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] Below in conjunction with embodiment the present invention is further described: as Figure 1~5 As shown in , the present invention proposes a technical solution for knowledge document recommendation. In the technical solution proposed by the following embodiments of the present invention, the administrator first determines the classification of the articles in the knowledge base, then the logged-in user uploads the articles to the knowledge base, marks the categories for the uploaded articles, and then the system collects and reads the articles uploaded by the logged-in user. It can recommend other articles of the same category to users for reading. There are three methods of recommendation. If the same article is selected by the three recommendation methods, it will be displayed to the user in the following way: if the recommendation method 1 selects article 1, article 2, and article 3, and the recommendation method 2 selects article 2, Article 4, Article 5, Recommen...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a knowledge document recommendation method based on user historical behavior features. According to the knowledge document recommendation method, the word frequency of each word in an article is calculated, the words and the word frequencies are used as items and support degrees respectively, and the article which is most relevant to the article which is uploaded by a user is excavated by means of the FP-Tree method. The knowledge document recommendation method comprises the steps that a knowledge base word library is extracted through word segmentation of articles which the user has read and are stored in a knowledge base; word tables in the user word library are scanned and optimized, the support degrees of the FP-Tree method is replaced by TF word frequencies so as to establish a FP tree, and a frequent item set containing user reading features is excavated; the most relevant articles are determined finally, the most relevant articles are ranked according to the importance degrees, and the ranked most relevant articles are recommended to the user. According to the knowledge document recommendation method based on the user historical behavior features, the words in the articles are used as excavation features, modeling is conducted on the historical reading behavior of each user, dependence on the reading behaviors of other users is avoided, and therefore the problems that a great number of valuable articles in an enterprise knowledge base are not read by people and the users cannot find the articles containing relevant knowledge at the same time are solved.

Description

technical field [0001] The invention relates to the technical field of enterprise knowledge base and intelligent recommendation, in particular to a knowledge document recommendation method based on user historical behavior characteristics. Background technique [0002] Enterprise knowledge bases have been set up in some large IT companies to store basic enterprise information: public relations information, annual reports, publications and general introduction of the enterprise, etc.; enterprise organizational structure information: addresses, agents, branches, service centers Information about products and services: technical expertise, service characteristics, etc.; basic process information; information about patents, trademarks, copyrights, use of other enterprise technologies and methodologies; customer information, etc. And many employees find it difficult to find the knowledge they need in the company. Often employees don't know where this information is stored, and th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/3322G06F16/334G06F16/337
Inventor 冯天佑李成华阮羚邓万婷陈婷余晓阳欧阳由熊宇
Owner STATE GRID CORP OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products