Proposes a new learning algorithm to improve the retrieval effectiveness of the search system used in the hypertext environment using an extended Boolean model with links to improve the ranking of retrieved items. Highlights include the basic retrieval scheme, the learning scheme, and a review of basic probabilistic retrieval models. (Contains 32…

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)

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)

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…