Individual and collective approaches for searcher satisfaction in IR
Th.P. van der Weide, P. van Bommel · 1998
The incremental searcher satisfaction model for Information Retrieval has been introduced to capture the relevancy of documents under consideration of documents previously presented. In this paper, different approaches for the construction of increment functions are identified, such as the individual and the collective approach. The requirements posed by these approaches are examined and evaluated with respect to well-known similarity measures used in IR, such as Inclusion, Jaccard's, Dice's, and Cosine coefficient. 1 Introduction The incremental searcher satisfaction model can be used to consider relevancy of documents in the light of previously presented documents ([13]). Incremental satisfaction (also referred to as novelty or surprise) is a major concern for e.g. state-of-the-art Internet search engines aiming at maximal search support (cf. [1], [4]). It can be used to present documents in such a way that the specific searcher can easily determine which (classes of) documents are ...