The interactive PRP for diversifying document rankings

  • Authors:
  • Guido Zuccon;Leif Azzopardi;C.J. "Keith" van Rijsbergen

  • Affiliations:
  • University of Glasgow, Glasgow, United Kingdom;University of Glasgow, Glasgow, United Kingdom;University of Glasgow, Glasgow, United Kingdom

  • Venue:
  • Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
  • Year:
  • 2011

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Abstract

The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP's limitations. In this poster we focus on the Interactive PRP (iPRP), which rejects the assumption of independence between documents made by the PRP. Although the theoretical framework of the iPRP is appealing, no instantiation has been proposed and investigated. In this poster, we propose a possible instantiation of the principle, performing the first empirical comparison of the iPRP against the PRP. For document diversification, our results show that the iPRP is significantly better than the PRP, and comparable to or better than other methods such as Modern Portfolio Theory.