Search (2 results, page 1 of 1)

  • × author_ss:"Scholer, F."
  • × year_i:[2000 TO 2010}
  1. Shokouhi, M.; Zobel, J.; Tahaghoghi, S.; Scholer, F.: Using query logs to establish vocabularies in distributed information retrieval (2007) 0.00 
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    Abstract
    Users of search engines express their needs as queries, typically consisting of a small number of terms. The resulting search engine query logs are valuable resources that can be used to predict how people interact with the search system. In this paper, we introduce two novel applications of query logs, in the context of distributed information retrieval. First, we use query log terms to guide sampling from uncooperative distributed collections. We show that while our sampling strategy is at least as efficient as current methods, it consistently performs better. Second, we propose and evaluate a pruning strategy that uses query log information to eliminate terms. Our experiments show that our proposed pruning method maintains the accuracy achieved by complete indexes, while decreasing the index size by up to 60%. While such pruning may not always be desirable in practice, it provides a useful benchmark against which other pruning strategies can be measured.
    Type
    a
  2. Scholer, F.; Williams, H.E.; Turpin, A.: Query association surrogates for Web search (2004) 0.00 
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    Abstract
    Collection sizes, query rates, and the number of users of Web search engines are increasing. Therefore, there is continued demand for innovation in providing search services that meet user information needs. In this article, we propose new techniques to add additional terms to documents with the goal of providing more accurate searches. Our techniques are based an query association, where queries are stored with documents that are highly similar statistically. We show that adding query associations to documents improves the accuracy of Web topic finding searches by up to 7%, and provides an excellent complement to existing supplement techniques for site finding. We conclude that using document surrogates derived from query association is a valuable new technique for accurate Web searching.
    Type
    a

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