Identifying user goals from web search results

Yao Sheng Chang, Kuan Yu He, Scott Yu, Wen Hsiang Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

With the fast growth of the Web, users often suffer from the problem of information overload since many existing search engines response lots of non-relevant documents containing query terms based on the search mechanism of keyword matching. In fact, it is eagerly expected by both users and search engine developers to reduce overloaded information by understanding user goals clearly. In this paper, we intend to utilize Web search results to identify user goals. We propose one novel probabilistic inference model which effectively employs syntactic features to discover a variety of confined user goals.

Original languageEnglish
Title of host publicationProceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings), WI'06
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1038-1041
Number of pages4
ISBN (Print)0769527477, 9780769527475
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE/WIC/ACM International Conference on Web Intelligence, WI'06 - Hong Kong, China
Duration: 2006 Dec 182006 Dec 22

Publication series

NameProceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings), WI'06

Other

Other2006 IEEE/WIC/ACM International Conference on Web Intelligence, WI'06
Country/TerritoryChina
CityHong Kong
Period06-12-1806-12-22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

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