Open AccessThe interactive PRP for diversifying document rankings
Author(s) -
Guido Zuccon,
Leif Azzopardi,
C. J. van Rijsbergen
Publication year - 2011
Publication title -
proceedings of the 45th international acm sigir conference on research and development in information retrieval
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2009916.2010132
Subject(s) - diversification (marketing strategy) , computer science , ranking (information retrieval) , portfolio , focus (optics) , independence (probability theory) , information retrieval , theoretical computer science , mathematics , economics , statistics , marketing , financial economics , physics , optics , business
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
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