A probability ranking principle for interactive information retrieval |
| |
| Authors: | Norbert Fuhr |
| |
| Institution: | (1) Faculty of Engineering Sciences, Department of Computational and Cognitive Sciences, University of Duisburg-Essen, Duisburg, 47048, Germany |
| |
| Abstract: | The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR)
models, which are dominating IR theory since about 20 years. However, the assumptions underlying the PRP often do not hold,
and its view is too narrow for interactive information retrieval (IIR). In this article, a new theoretical framework for interactive
retrieval is proposed: The basic idea is that during IIR, a user moves between situations. In each situation, the system presents
to the user a list of choices, about which s/he has to decide, and the first positive decision moves the user to a new situation.
Each choice is associated with a number of cost and probability parameters. Based on these parameters, an optimum ordering
of the choices can the derived—the PRP for IIR. The relationship of this rule to the classical PRP is described, and issues
of further research are pointed out.
|
| |
| Keywords: | Probabilistic retrieval Interactive retrieval Optimum retrieval rule |
| 本文献已被 SpringerLink 等数据库收录！ |
|
