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Peer reviewedAmati, Gianni; Crestani, Fabio – Information Processing & Management, 1999
Describes and evaluates a learning model for information filtering and selective dissemination of information which is an adaptation of the generalized probabilistic model of information retrieval. The model is based on the concept of uncertainty sampling that allows for relevance feedback both on relevant and nonrelevant documents. (Author/LRW)
Descriptors: Evaluation Methods, Feedback, Information Retrieval, Learning Processes
Vigil, Peter J. – 1989
Online information retrieval is pervasive and its development in libraries is accelerating. Within the near future, most college and research libraries will provide direct access to their patrons to vast information resources via CD-ROMs, locally mounted databases, and gateways. The computer terminal and the "frame" of information it…
Descriptors: Algorithms, Expert Systems, Heuristics, Information Retrieval
