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Abstract

Brajnik et alia describe their view of an effective retrieval interface, one which coaches the searcher using stored knowledge not only of database structure, but of strategic situations which are likely to occur, such as repeating failed tactics in a low return search, or failing to try relevance feedback techniques. The emphasis is on the system suggesting search strategy improvements by relating them to an analysis of work entered so far and selecting and ranking those found relevant. FIRE is an interface utilizing these techniques. It allows the user to assign documents to useful, topical and trash folders, maintains thesauri files automatically searchable on query terms, and it builds, using user entries and a rule system, a picture of the retrieval situation from which it generates suggestions. Six participants used FIRE in INSPEC20K database searches, two for their own information needs and four needs provided by the authors. Satisfaction was measured in a structured post search interview, behavior by log analysis, and performance by recall and precision in the canned searches. Participants found the suggestions helpful, but insisted they would have taken those approaches without such assistance. Users took the suggestions offered and preferred those demanding the least effort.

Source

Journal of the American Society for Information Science and technology. 53(2002) no.5, S.343-258