Estimating interference in the QPRP for subtopic retrieval

Guido Zuccon, Leif Azzopardi, Claudia Hauff, C.J. Keith van Rijsbergen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)


The Quantum Probability Ranking Principle (QPRP) has been recently proposed, and accounts for interdependent document relevance when ranking. However, to be instantiated, the QPRP requires a method to approximate the "interference" between two documents. In this poster, we empirically evaluate a number of different methods of approximation on two TREC test collections for subtopic retrieval. It is shown that these approximations can lead to significantly better retrieval performance over the state of the art.
Original languageEnglish
Title of host publicationSIGIR '10 Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, NY, USA
Number of pages2
Publication statusPublished - 19 Jul 2010
Externally publishedYes


  • diversity
  • quantum probability ranking principle
  • interference estimation


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