Estimating interference in the QPRP for subtopic retrieval

Zuccon, G., Azzopardi, L., Hauff, C. and Van Rijsbergen, C. (2010) Estimating interference in the QPRP for subtopic retrieval. In: 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, Switzerland, 19-23 Jul 2010, ISBN 9781450301534 (doi: 10.1145/1835449.1835593)

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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.

Item Type:Conference Proceedings
Keywords:quantum probability ranking principle, diversity, interference estimation
Glasgow Author(s) Enlighten ID:Azzopardi, Dr Leif and Van Rijsbergen, Professor Cornelis
Authors: Zuccon, G., Azzopardi, L., Hauff, C., and Van Rijsbergen, C.
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science

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