Probability ranking principle via optimal expected rank

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

doi:10.1145/1277741.1277872

Probability ranking principle via optimal expected rank

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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Pages	713-714
Number of pages	2
DOIs	https://doi.org/10.1145/1277741.1277872
Publication status	Published - 30 Nov 2007
Event	30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands Duration: 23 Jul 2007 → 27 Jul 2007

Conference

Conference	30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Country/Territory	Netherlands
City	Amsterdam
Period	23/07/07 → 27/07/07

Keywords

Probability ranking principle and optimization

ASJC Scopus subject areas

Information Systems
Software
Applied Mathematics

More information

10.1145/1277741.1277872

Cite this

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title = "Probability ranking principle via optimal expected rank",

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.",

keywords = "Probability ranking principle and optimization",

author = "Wu, \{H. C.\} and Luk, \{Wing Pong Robert\} and Wong, \{K. F.\}",

year = "2007",

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booktitle = "Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07",

note = "30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 ; Conference date: 23-07-2007 Through 27-07-2007",

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Wu, HC, Luk, WPR & Wong, KF 2007, Probability ranking principle via optimal expected rank. in Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. pp. 713-714, 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, Amsterdam, Netherlands, 23/07/07. https://doi.org/10.1145/1277741.1277872

Probability ranking principle via optimal expected rank. / Wu, H. C.; Luk, Wing Pong Robert; Wong, K. F.
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. 2007. p. 713-714.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Wu, H. C.

AU - Luk, Wing Pong Robert

AU - Wong, K. F.

PY - 2007/11/30

Y1 - 2007/11/30

N2 - 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.

AB - 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.

KW - Probability ranking principle and optimization

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U2 - 10.1145/1277741.1277872

DO - 10.1145/1277741.1277872

M3 - Conference article published in proceeding or book

SN - 1595935975

SN - 9781595935977

SP - 713

EP - 714

BT - Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

T2 - 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Y2 - 23 July 2007 through 27 July 2007

ER -

Probability ranking principle via optimal expected rank

Abstract

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Keywords

ASJC Scopus subject areas

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