Reports experiments with a term weighting model incorporating relevance information in which it is assumed that index terms are distributed dependently. It is argued that, if high recall searches are required, relevance feedback based on the modified dependence model may be superior to the Boolean search. (Author/VT)

Discussion of user-relevance judgments in information retrieval focuses on findings from four separate studies of relevance judgments by 55 users conducting their initial online search on a particular information problem. Highlights include a theoretical framework, models of relevance, and implications for information-retrieval system design and…

Describes rough sets theory and discusses the advantages it offers for information retrieval, including the implicit inclusion of Boolean logic, term weighting, ranked retrieval output, and relevance feedback. Rough set formalism is compared to Boolean, vector, and fuzzy models of information retrieval and a small scale evaluation of rough sets is…

Describes the three subsystems of an information retrieval system (document descriptions, queries, and matching algorithms) and argues that the interdependency of these subsystems requires adaptation for the system to perform when any component changes. An algorithm for redescribing documents, in response to changes in queries and retrieval rules,…