1999 AnalysisofaVeryLargeWebSearchEn

• (Silverstein et al., 1999) ⇒ Craig Silverstein, Hannes Marais, Monika Henzinger, and Michael Moricz. (1999). “Analysis of a Very Large Web Search Engine Query Log.” In: ACM SIGIR Forum Journal, 33(1). doi:10.1145/331403.331405

Subject Headings: Search Query Analysis.

Cited By

• http://scholar.google.com/scholar?q=%221999%22+Analysis+of+a+Very+Large+Web+Search+Engine+Query+Log
• http://dl.acm.org/citation.cfm?id=331403.331405&preflayout=flat#citedby

Quotes

Abstract

In this paper we present an analysis of an AltaVista Search Engine query log consisting of approximately 1 billion entries for search requests over a period of six weeks. This represents almost 285 million user sessions, each an attempt to fill a single information need. We present an analysis of individual queries, query duplication, and query sessions. We also present results of a correlation analysis of the log entries, studying the interaction of terms within queries. Our data supports the conjecture that web users differ significantly from the user assumed in the standard information retrieval literature. Specifically, we show that web users type in short queries, mostly look at the first 10 results only, and seldom modify the query. This suggests that traditional information retrieval techniques may not work well for answering web search requests. The correlation analysis showed that the most highly correlated items are constituents of phrases. This result indicates it may be useful for search engines to consider search terms as parts of phrases even if the user did not explicitly specify them as such.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1999 AnalysisofaVeryLargeWebSearchEn	Craig Silverstein Hannes Marais Monika Henzinger Michael Moricz			Analysis of a Very Large Web Search Engine Query Log				10.1145/331403.331405		1999