Discusses the probabilistic nature of information retrieval, and describes a front end system designed to permit searchers to attach probabilistically interpreted weights to query terms, which could be adapted for conventional information retrieval systems without requiring radical changes in current indexing procedures. (37 references) (CLB)

Presents results of five experiments on human information-seeking behavior in different online information-seeking environments which studied search strategies and assessed information value in realistic search environments. A conceptual model of how humans value information is presented. Empirical and modeling results are considered for…