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Lundquist, C.; Frieder, O.; Holmes, D.O.; Grossman, D.: ¬A parallel relational database management system approach to relevance feedback in information retrieval (1999)
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- Date
- 17. 1.2000 12:22:18
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Beitzel, S.M.; Jensen, E.C.; Chowdhury, A.; Frieder, O.; Grossman, D.: Temporal analysis of a very large topically categorized Web query log (2007)
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- 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.
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Aqeel, S.U.; Beitzel, S.M.; Jensen, E.C.; Grossman, D.; Frieder, O.: On the development of name search techniques for Arabic (2006)
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- Date
- 22. 7.2006 17:20:20
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Beitzel, S.M.; Jensen, E.C.; Chowdhury, A.; Grossman, D.; Frieder, O; Goharian, N.: Fusion of effective retrieval strategies in the same information retrieval system (2004)
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Aljlayl, M.; Frieder, O.; Grossman, D.: On bidirectional English-Arabic search (2002)
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Cathey, R.J.; Jensen, E.C.; Beitzel, S.M.; Frieder, O.; Grossman, D.: Exploiting parallelism to support scalable hierarchical clustering (2007)
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