Keyword weight adjusting schema based on domain repository

Jie Xiao, Liang He*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Webpage keyword is widely used in personalized search and recommendations. The accuracy of keyword is significant to the quality of search and recommendation result. Current keyword extraction methods' accuracy is not high. In order to make up for the shortage of present technology, a new keyword weight adjusting schema based on Domain Repository has been proposed in this paper. Three steps: 1) Extract original keywords by word frequency statistics. 2) Match original keywords with concepts in Domain Repository in this page's field. 3) Increase the weight of words more related to this field then abstract its meaning to build the weighted keywords. Extensive experiments show that this method has better resource description accuracy than traditional statistical keyword extracting method.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages221-225
Number of pages5
DOIs
StatePublished - 2010
Event2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China
Duration: 9 Jul 201011 Jul 2010

Publication series

NameProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Volume1

Conference

Conference2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Country/TerritoryChina
CityChengdu
Period9/07/1011/07/10

Keywords

  • Domain repository
  • Keyword
  • Ontology
  • Weight
  • WordNet

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