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The Computer Journal 1998 41(5):311-318; doi:10.1093/comjnl/41.5.311
© 1998 by British Computer Society
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The Incremental Searcher Satisfaction Model for Information Retrieval

Th. P. van der Weide1, T. W. C. Huibers2 and P. van Bommel1

1 Department of Information Systems, University of Nijmegen, Toernooiveld 1, NL-6525 ED Nijmegen, The Netherlands Email: tvdw{at}cs.kun.nl, theoh{at}cs.kun.nl, pvb{at}cs.kun.nl, 2 DOXiS, Loire 118, NL-2266 JR Leidschendam, The Netherlands

In this paper, the incremental searcher satisfaction model for information retrieval is introduced. In this new model, documents are not only presented according to decreasing relevancy, but also on the level of novelty in the context of the documents previously presented. Documents which are judged to be insufficiently surprising (according to a searcher determined threshold) are not presented to the searcher. This is especially useful for information retrieval in certain contexts (e.g. Internet applications such as search engines), when a searcher does not want all relevant documents to be shown, but to only gain a global idea of the variety of what the corpus may contain on a topic. Important properties of this model are discussed, such as the relation between the reductional effect and the order of presentation.

Received October 24, 1997. revised August 24, 1998.


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