Estimating interference in the QPRP for subtopic retrieval
Authors:
Open Access
- 19 July 2010
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 741-742
Abstract
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 artKeywords
This publication has 9 references indexed in Scilit:
- Using the Quantum Probability Ranking Principle to Rank Interdependent DocumentsLecture Notes in Computer Science, 2010
- Portfolio theory of information retrieval2009
- Diversifying search results2009
- An Effectiveness Measure for Ambiguous and Underspecified Queries2009
- Novelty and diversity in information retrieval evaluation2008
- Learning diverse rankings with multi-armed bandits2008
- Beyond independent relevance2003
- Measures of distributional similarity1999
- THE PROBABILITY RANKING PRINCIPLE IN IRJournal of Documentation, 1977