A Bayesian Approach to User Stopping Rules for Information Retrieval Systems.

Kraft, Donald H.; Waller, W. G.

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Peer reviewed

ERIC Number: EJ256702

Record Type: Journal

Publication Date: 1981

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A Bayesian Approach to User Stopping Rules for Information Retrieval Systems.

Kraft, Donald H.; Waller, W. G.

Information Processing and Management, v17 n6 p349-61 1981

Presents a dynamic model of user behavior when scanning an information storage and retrieval system output list, compares rules for determining the user's optimum stopping point, presents an algorithm for implementing the Bayesian model, and discusses implications for retrieval system design. Provided are 13 figures and 15 references. (Author/RBF)

Descriptors: Algorithms, Bayesian Statistics, Behavior Patterns, Graphs, Information Retrieval, Mathematical Models, Online Systems, Relevance (Information Retrieval), Summative Evaluation, User Satisfaction (Information)

Publication Type: Journal Articles; Reports - Research

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Language: English

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