Finding more useful information faster from web search results

Yi Fang Brook Wu, Latha Shankar, Xin Chen

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

13 Scopus citations

Abstract

In this paper, we propose a prototype system for automatic generation of concept hierarchies to be used as an overview of search results. The system sends a user's query to five search engines and receives a returned list of relevant web pages. The system then extracts query-oriented concept terms from snippets that come with the returned hits. Concept terms are organized into a concept hierarchy using a co-occurrence-based classification technique. Finally, concepts in returned documents are dynamically highlighted according to terms in the selected concept branch that lead to the chosen document. The user study shows that concept hierarchies do provide easy navigation and browsing of web returned documents. The results also show that users can find a document of interest no matter how low it is ranked in the retrieved list.

Original languageEnglish (US)
Title of host publicationCIKM 2003
Subtitle of host publicationProceedings of the Twelfth ACM International Conference on Information and Knowledge Management
EditorsO. Frieder, J. Hammer, S. Qureshi, L. Seligman
Pages568-571
Number of pages4
StatePublished - Dec 1 2003
EventCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management - New Orleans, LA, United States
Duration: Nov 3 2003Nov 8 2003

Other

OtherCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
Country/TerritoryUnited States
CityNew Orleans, LA
Period11/3/0311/8/03

All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • General Business, Management and Accounting

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