Towards Predicting Relevance Using a Quantum-Like Framework

  • Emanuele Di Buccio
  • Massimo Melucci
  • Dawei Song
Conference paper

DOI: 10.1007/978-3-642-20161-5_87

Volume 6611 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Di Buccio E., Melucci M., Song D. (2011) Towards Predicting Relevance Using a Quantum-Like Framework. In: Clough P. et al. (eds) Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Emanuele Di Buccio
    • 1
  • Massimo Melucci
    • 1
  • Dawei Song
    • 2
  1. 1.University of PaduaItaly
  2. 2.Robert Gordon UniversityAberdeenUK