Abstract
Recently, Portfolio Theory (PT) has been proposed for Information Retrieval. However, under non-trivial conditions PT violates the original Probability Ranking Principle (PRP). In this poster, we shall explore whether PT upholds a different ranking principle based on Quantum Theory, i.e. the Quantum Probability Ranking Principle (QPRP), and examine the relationship between this new model and the new ranking principle. We make a significant contribution to the theoretical development of PT and show that under certain circumstances PT upholds the QPRP, and thus guarantees an optimal ranking according to the QPRP. A practical implication of this finding is that the parameters of PT can be automatically estimated via the QPRP, instead of resorting to extensive parameter tuning.
Original language | English |
---|---|
Title of host publication | SIGIR '10 Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval |
Place of Publication | New York, NY, USA |
Pages | 755-756 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 19 Jul 2010 |
Externally published | Yes |
Keywords
- interdependent document relevance
- quantum probability ranking principle
- portfolio theory for IR
- information retrieval