Knowledge recommendation method and equipment based on similarity

A recommendation method and similarity technology, applied in the field of knowledge recommendation based on similarity, can solve the problems of keywords not including keywords, inaccurate keyword selection, and inability to recommend knowledge by users.

Active Publication Date: 2015-10-14
DHC SOFTWARE
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This may lead to the fact that the final extracted keywords do not include the keywords in the title, resulting in inaccurate selection of keywords (also called "feature words"), which may not be truly representative, and may eventually lead to failure to recommend for users. best matching 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
  • Knowledge recommendation method and equipment based on similarity
  • Knowledge recommendation method and equipment based on similarity
  • Knowledge recommendation method and equipment based on similarity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0013] figure 1 A flow chart of a similarity-based knowledge recommendation method according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method may include: step S101, acquiring a knowledge, which includes a title part and a content part; step S102, performing word segmentation processing on the content part, determining the weight of each word segment, and determining the content according to the weight Partial feature words; step S103, carry out word segmentation process to described title part, determine the weight of each participle, and determine the feature words of described title part according to this weight; Ste...

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 discloses a knowledge recommendation method and equipment based on similarity. The method comprises the following steps: obtaining one piece of knowledge which comprises a title part and a content part; independently carrying out word segmentation processing on the content part and the title part, determining the weight of each segmented word, and independently determining the characteristic words of the content part and the title part according to the weight; according to the characteristic words of the two parts, determining a characteristic word set of the obtained knowledge; forming a new characteristic word set with the obtained characteristic word set and a characteristic word set of another piece of knowledge stored in a repository, independently determining the frequency of each characteristic word in the two pieces of knowledge in the formed characteristic word set to obtain the word frequency vectors of the two pieces of knowledge; on the basis of the word frequency vectors of the two pieces of knowledge, determining the similarity between the two pieces of knowledge; and under a situation that the similarity is greater than or equal to a threshold value, recommending the other piece of knowledge to the user. Therefore, the accuracy and the authenticity of the similarity can be improved, and the knowledge with the highest similarity is recommended to the user.

Description

technical field [0001] The present invention relates to the field of information retrieval, in particular to a similarity-based knowledge recommendation method and equipment. Background technique [0002] The knowledge recommendation method usually refers to finding the knowledge matching the knowledge input by the user from the existing knowledge stored in the knowledge base according to the current knowledge input by the user, and recommending it to the user. [0003] In the existing knowledge recommendation methods, some methods perform knowledge matching based on knowledge categories. This method only uses categories as the only matching standard for knowledge similarity, which may lead to low correlation of knowledge content and poor matching accuracy. Most of the knowledge recommended to users by this method is not the knowledge that users are really interested in. [0004] There are also some methods for knowledge matching based on knowledge content. This method us...

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 Applications(China)
IPC IPC(8): G06F17/30
Inventor 王彬
Owner DHC SOFTWARE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap