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Advances in Information Retrieval

Volume 6611 of the series Lecture Notes in Computer Science pp 755-758

Towards Predicting Relevance Using a Quantum-Like Framework

  • Emanuele Di BuccioAffiliated withCarnegie Mellon UniversityUniversity of Padua
  • , Massimo MelucciAffiliated withCarnegie Mellon UniversityUniversity of Padua
  • , Dawei SongAffiliated withCarnegie Mellon UniversityRobert Gordon University

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Abstract

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.