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We analyse the kinematics of probabilistic term weights at retrieval time for di erent Information Retrieval models. We present four models based on di erent notions of probabilistic retrieval. Two of these models are based on classical probability theory and can beconsidered as prototypes of models long in use in Information Retrieval, like the Vector Space Model and the Probabilistic Model. The two other models are based on a logical technique of evaluating the probability of a conditionaldoi:10.1145/215206.215373 dblp:conf/sigir/CrestaniR95 fatcat:wxrdnxnmffg4ley4kx7ywlu76m