Method for providing network service resources

A technology for network services and service resources, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as difficulty in meeting people's requirements for retrieval system functions, intelligence, and retrieval effects.

Inactive Publication Date: 2014-05-07
HENAN UNIV OF SCI & TECH
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the traditional retrieval technology is difficult to meet people's requirements for retrieval system functions, intelligence and retrieval effects, the present invention provides a method for providing network service resources to meet the diverse real-time needs of users. Provide users with better services

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
  • Method for providing network service resources
  • Method for providing network service resources
  • Method for providing network service resources

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] A method for providing network service resources, firstly classifying the network service resources, then providing a search plan according to the interests of users, and providing classified network service resources according to the search plan, said classifying the network service resources includes the following steps :

[0060] 1) Predefine m categories, the class label is , and then extract several feature vectors of the service resource X to be classified, and combine these feature vectors into an n-dimensional feature vector representing the service resource , respectively describe the pair of n attributes n measures of ;

[0061] 2) For each attribute in the n-dimensional feature vector attribute value of , for each category , the computed category lower property value probability of occurrence , and the category probability of occurrence ;

[0062] 3) Determine each attribute in the n-dimensional feature vector weight of ;

[0063] T...

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 method for providing network service resources. The method comprises the following steps: firstly, classifying the network service resources; then, providing a retrieval scheme according to the interest of a user, and providing the classified network service resources according to the retrieval scheme; firstly extracting feature vectors of to-be-classified service resources when the network service resources are classified, then, computing the probability of each attribute in each feature vector in each category and the weight of each attribute, then, acquiring the probability that each attribute belongs to each category by utilizing a weighting Naive Bayes formula, and selecting the maximum as the classification category of each service resource. According to the method disclosed by the invention, when the service resources are classified, by utilizing the bayesian classification algorithm and combining the calculation of attribute similarity, the classification accuracy of the service resources is improved, and when the service networks are provided for the user, a user interest-based personalized service resource retrieval is explored under the framework of a vector space model, so that the complexity of time and space in the retrieval algorithm is reduced, and the retrieval efficiency is improved.

Description

technical field [0001] The invention relates to the field of providing Internet service resources, in particular to a method for providing network service resources. Background technique [0002] Classification of service resources refers to analyzing various existing services and resources in the network according to their respective attributes and characteristics, and classifying them into specific categories. With the rapid development of Internet technology and the continuous popularization of computer technology, people have become more and more dependent on network service resources, and the classification of service resources is a complex processing process, which involves preprocessing of service resources and feature vector collection. Service resource classification can be understood as the use of certain methods and models to conduct comprehensive analysis, optimization, processing, permutation, sorting, and classification of various resources on the network accor...

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
CPCG06F16/9535
Inventor 张明川郑瑞娟吴庆涛杨春蕾魏汪洋白秀玲崔敏李晨李莹
Owner HENAN UNIV OF SCI & TECH
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