Estimating interference in the QPRP for subtopic retrieval

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. Categories and Subject Descriptors: H.3.3 Information Storage and Retrieval - Retrieval Models General Terms: Theory, Experimentation

• Type: Conference
• Year: 2010
• Where: SIGIR
• Authors: Guido Zuccon, Leif Azzopardi, Claudia Hauff, Keith van Rijsbergen
• Keywords: Better Retrieval Performance, Information Technology, Interdependent Document Relevance, Probability Ranking Principle, SIGIR 2010