Presents a new model for combining multiple sources of evidence in database merging based on logistic regression, and occurring only when ranks are available as a key to be used to merge different ranked lists obtained by various retrieval schemes. Results indicate better retrieval effectiveness than other approaches. (LRW)

Discusses the role of search engines in Web usability and analyzes and evaluates the retrieval effectiveness of various indexing and searching strategies on a new Web text collection. Highlights include preprocessing techniques that might improve retrieval effectiveness; and hyperlinks as useful sources of evidence in improving retrieval…

Proposes a general stopword list and a simple stemming procedure that can be used to adapt search mechanisms for French-language databases. Describes document-retrieval experiments with French test collections aimed at improving retrieval effectiveness. (LRW)

Metasearching of online current news services is a potentially useful Web application of distributed information retrieval techniques. Reports experiences in building a metasearcher designed to provide up-to-date searching over a significant number of rapidly changing current news sites, focusing on how to merge results from the search engines at…

Suggests a new ranking scheme especially adapted for hypertext environments in order to produce more effective retrieval results and still use Boolean search strategies. Topics include Boolean ranking schemes; single-term indexing and term weighting; fuzzy set theory extension; and citation indexing. (64 references) (Author/LRW)

Describes a method based on Bayesian networks for searching hypertext systems. Discussion covers the use of Bayesian networks for structuring index terms and representing user information needs; use of link semantics based on constrained spreading activation to find starting points for browsing; and evaluation of a prototype system. (64…

Discussion of evaluation methodology in information retrieval focuses on the average precision over a set of fixed recall values in an effort to evaluate the retrieval effectiveness of a search algorithm. Highlights include a review of traditional evaluation methodology with examples; and a statistical inference methodology called bootstrap.…

Discusses cross-language, multilingual, and bilingual information retrieval on the Web; evaluates retrieval effectiveness of indexing and search strategies based on test collections from CLEF (Cross-Language Evaluation Forum) in English, French, German, and Italian; and suggests and evaluates database merging strategies. Appendices include…