Document (#32061)

Author

Beitzel, S.M.
Jensen, E.C.
Chowdhury, A.
Frieder, O.
Grossman, D.

Title

Temporal analysis of a very large topically categorized Web query log

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.2, S.166-178

Year

2007

Abstract

The authors review a log of billions of Web queries that constituted the total query traffic for a 6-month period of a general-purpose commercial Web search service. Previously, query logs were studied from a single, cumulative view. In contrast, this study builds on the authors' previous work, which showed changes in popularity and uniqueness of topically categorized queries across the hours in a day. To further their analysis, they examine query traffic on a daily, weekly, and monthly basis by matching it against lists of queries that have been topically precategorized by human editors. These lists represent 13% of the query traffic. They show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. Additionally, they show that certain categories of queries trend differently over varying periods. The authors key contribution is twofold: They outline a method for studying both the static and topical properties of a very large query log over varying periods, and they identify and examine topical trends that may provide valuable insight for improving both retrieval effectiveness and efficiency.

Theme

Internet

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4. Li, X.; Schijvenaars, B.J.A.; Rijke, M.de: Investigating queries and search failures in academic search (2017) 0.20

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5. Cai, F.; Rijke, M. de: Learning from homologous queries and semantically related terms for query auto completion (2016) 0.20

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