Incremental relevance feedback for information filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Rapid retrieval algorithms for case-based reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
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The broad way in which we look at how an IRS functions influences the types of questions we ask about it and the ways we try to improve performance. In the recent past, retrieval methodologies have been based on retrieving documents one at a time. In this paper we are introducing a set oriented view. We observe that this view is quite consistent with the single-document or sequential methods, and define a precise model to capture the set-oriented approach. We then examine a number consequences of the model, such as the limitations implied by a finite index vocabulary. Finally, we discuss various ways in which the set orientation can influence our thinking about IR.