论文信息 - A Bayesian approach to user stopping rules for information retrieval systems

A Bayesian approach to user stopping rules for information retrieval systems

Abstract A model of a user's scan of the output of an information storage and retrieval system in response to a query is presented. Rules for determining the user's optimal stopping point are discussed and compared. A dynamic model for determining the proper stopping point using decision theory under risk with changing utilities is used as the basis for a Bayesian model of user scanning behavior. An algorithm to implement the Bayesian model is introduced and examples of the model are given. The implications for retrieval systems design and evaluation are discussed.

Donald H. Kraft | W. G. Waller | D. Kraft | W. Waller

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