Probability ranking principle via optimal expected rank

H. C. Wu, Wing Pong Robert Luk, K. F. Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This paper presents a new perspective of the probability ranking principle (PRP) by defining retrieval effectiveness in terms of our novel expected rank measure of a set of documents for a particular query. This perspective is based on preserving decision preferences, and it imposes weaker conditions on PRP than the utility-theoretic perspective of PRP.
Original languageEnglish
Title of host publicationProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Pages713-714
Number of pages2
DOIs
Publication statusPublished - 30 Nov 2007
Event30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands
Duration: 23 Jul 200727 Jul 2007

Conference

Conference30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
CountryNetherlands
CityAmsterdam
Period23/07/0727/07/07

Keywords

  • Probability ranking principle and optimization

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Applied Mathematics

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