Towards Predicting Relevance Using a Quantum-Like Framework

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In this paper, the user’s relevance state is modeled using quantum-like probability and the interference term is proposed so as to model the evolution of the state and the user’s uncertainty about the assessment. The theoretical framework has been formulated and the results of an experimental user study based on a TREC test collection have been reported.