Abstract
A probability distribution model for information retrieval is proposed in this article. In contrast to other approaches, each document in the new model is characterized by a simple probability measure on the set of index terms. Based on this interpretation of document representation, two different retrieval strategies are discussed. One is based on utility theory and the other is derived from information theory. The new model not only enhances retrieval effectiveness as demonstrated by experiments, but also provides valuable insight into many fundamental concepts introduced over the years in a variety of retrieval models.
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