Grouper: A Dynamic Clustering Interface to Web Search Results

Grouper: A Dynamic Clustering Interface to Web Search Results (1999)

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by Oren Zamir , Oren Etzioni

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Datum	Value	Source
TITLE	Grouper: A Dynamic Clustering Interface to Web Search Results	INFERENCE
AUTHOR NAME	Oren Zamir	user correction
AUTHOR AFFIL	Department of Computer Science and Engineering; University of	user correction
AUTHOR ADDR	Washington, Box 352350; Seattle, WA 98195-2350 U.S.A.	user correction
AUTHOR NAME	Oren Etzioni	user correction
AUTHOR AFFIL	Department of Computer Science and Engineering; University of	user correction
AUTHOR ADDR	Washington, Box 352350; Seattle, WA 98195-2350 U.S.A.	user correction
ABSTRACT	Users of Web search engines are often forced to sift through the long ordered list of document "snippets" returned by the engines. The IR community has explored document clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on most major search engines. The NorthernLight search engine organizes its output into "custom folders" based on pre-computed document labels, but does not reveal how the folders are generated or how well they correspond to users' interests. In this paper, we introduce Grouper -- an interface to the results of the HuskySearch meta-search engine, which dynamically groups the search results into clusters labeled by phrases extracted from the snippets. In addition, we report on the first empirical comparison of user Web search behavior on a standard ranked-list presentation versus a clustered presentation. By analyzing HuskySearch logs, we are able to demonstrate substantial differences in the number of documents f...	user correction - Legacy Corrections
YEAR	1999	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	1361--1374	INFERENCE
CITATIONS	37 found	ParsCit 1.0