A session-based search engine

Smitha Sriram, Xuehua Shen, Chengxiang Zhai

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

Abstract

In this poster, we describe a novel session-based search engine, which puts the search in context. The search engine has a number of session-based features including expansion of the current query with user query history and clickthrough data (title and summary of clicked web pages) in the same search session and the session boundary recognition through temporal closeness and probabilistic similarity between query terms. In addition, the search engine visualizes the rank change of web pages as different queries are submitted in the same search session to help the user reformulate the query.

Original languageEnglish (US)
Title of host publicationProceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery
Pages492-493
Number of pages2
ISBN (Print)1581138814, 9781581138818
DOIs
StatePublished - 2004
EventProceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Sheffield, United Kingdom
Duration: Jul 25 2004Jul 29 2004

Publication series

NameProceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

OtherProceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Country/TerritoryUnited Kingdom
CitySheffield
Period7/25/047/29/04

Keywords

  • Context
  • Query expansion
  • Query history

ASJC Scopus subject areas

  • Engineering(all)

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