Personalized spiders for web search and analysis

Michael Chau, Daniel Zeng, Hsinchun Chen

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

5 Scopus citations


Searching for useful information on the World Wide Web has become increasingly difficult. While Internet search engines have been helping people to search on the web, low recall rate and outdated indexes have become more and more problematic as the web grows. In addition, search tools usually present to the user only a list of search results, failing to provide further personalized analysis which could help users identify useful information and comprehend these results. To alleviate these problems, we propose a client-based architecture that incorporates noun phrasing and self-organizing map techniques. Two systems, namely CI Spider and Meta Spider, have been built based on this architecture. User evaluation studies have been conducted and the findings suggest that the proposed architecture can effectively facilitate web search and analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2001
PublisherAssociation for Computing Machinery
Number of pages9
ISBN (Print)1581133456, 9781581133455
StatePublished - 2001
Event1st ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2001 - Roanoke, VA, United States
Duration: Jun 24 2001Jun 28 2001

Publication series

NameProceedings of the ACM International Conference on Digital Libraries


Other1st ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2001
Country/TerritoryUnited States
CityRoanoke, VA


  • Information retrieval
  • Internet searching and browsing
  • Internet spider
  • Noun-phrasing
  • Personalization
  • Self-organizing map
  • User evaluation

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences


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