A retrospective study of probabilistic context-based retrieval

H. C. Wu; Wing Pong Robert Luk; K. F. Wong; K. L. Kwok; Wenjie Li

doi:10.1145/1076034.1076179

A retrospective study of probabilistic context-based retrieval

H. C. Wu, Wing Pong Robert Luk, K. F. Wong, K. L. Kwok, Wenjie Li

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

7 Citations (Scopus)

Abstract

We propose a novel probabilistic retrieval model which weights terms according to their contexts in documents. The term weighting function of our model is similar to the language model and the binary independence model. The retrospective experiments (i.e., relevance information is present) illustrate the potential of our probabilistic context-based retrieval where the precision at the top 30 documents is about 43% for TREC-6 data and 52% for TREC-7 data.

Original language	English
Title of host publication	SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages	663-664
Number of pages	2
DOIs	https://doi.org/10.1145/1076034.1076179
Publication status	Published - 1 Dec 2005
Event	28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005 - Salvador, Brazil Duration: 15 Aug 2005 → 19 Aug 2005

Conference

Conference	28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005
Country/Territory	Brazil
City	Salvador
Period	15/08/05 → 19/08/05

Keywords

context
retrospective experiment

ASJC Scopus subject areas

Information Systems

More information

10.1145/1076034.1076179

Cite this

@inproceedings{81779889dcad4e31be6a0f4449afe2c0,

title = "A retrospective study of probabilistic context-based retrieval",

abstract = "We propose a novel probabilistic retrieval model which weights terms according to their contexts in documents. The term weighting function of our model is similar to the language model and the binary independence model. The retrospective experiments (i.e., relevance information is present) illustrate the potential of our probabilistic context-based retrieval where the precision at the top 30 documents is about 43% for TREC-6 data and 52% for TREC-7 data.",

keywords = "context, retrospective experiment",

author = "Wu, {H. C.} and Luk, {Wing Pong Robert} and Wong, {K. F.} and Kwok, {K. L.} and Wenjie Li",

year = "2005",

month = dec,

day = "1",

doi = "10.1145/1076034.1076179",

language = "English",

isbn = "1595930345",

pages = "663--664",

booktitle = "SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",

note = "28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005 ; Conference date: 15-08-2005 Through 19-08-2005",

}

Wu, HC, Luk, WPR, Wong, KF, Kwok, KL & Li, W 2005, A retrospective study of probabilistic context-based retrieval. in SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 663-664, 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005, Salvador, Brazil, 15/08/05. https://doi.org/10.1145/1076034.1076179

A retrospective study of probabilistic context-based retrieval. / Wu, H. C.; Luk, Wing Pong Robert; Wong, K. F. et al.
SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2005. p. 663-664.

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

TY - GEN

T1 - A retrospective study of probabilistic context-based retrieval

AU - Wu, H. C.

AU - Luk, Wing Pong Robert

AU - Wong, K. F.

AU - Kwok, K. L.

AU - Li, Wenjie

PY - 2005/12/1

Y1 - 2005/12/1

N2 - We propose a novel probabilistic retrieval model which weights terms according to their contexts in documents. The term weighting function of our model is similar to the language model and the binary independence model. The retrospective experiments (i.e., relevance information is present) illustrate the potential of our probabilistic context-based retrieval where the precision at the top 30 documents is about 43% for TREC-6 data and 52% for TREC-7 data.

AB - We propose a novel probabilistic retrieval model which weights terms according to their contexts in documents. The term weighting function of our model is similar to the language model and the binary independence model. The retrospective experiments (i.e., relevance information is present) illustrate the potential of our probabilistic context-based retrieval where the precision at the top 30 documents is about 43% for TREC-6 data and 52% for TREC-7 data.

KW - context

KW - retrospective experiment

UR - http://www.scopus.com/inward/record.url?scp=33746746929&partnerID=8YFLogxK

U2 - 10.1145/1076034.1076179

DO - 10.1145/1076034.1076179

M3 - Conference article published in proceeding or book

SN - 1595930345

SN - 9781595930347

SP - 663

EP - 664

BT - SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

T2 - 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005

Y2 - 15 August 2005 through 19 August 2005

ER -

A retrospective study of probabilistic context-based retrieval

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this