Exploring term temporality for pseudo-relevance feedback

Stewart Whiting; Yashar Moshfeghi; Joemon M. Jose

doi:10.1145/2009916.2010141

Exploring term temporality for pseudo-relevance feedback

Stewart Whiting
, Yashar Moshfeghi
, Joemon M. Jose

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

12 Citations (Scopus)

Abstract

As digital collections expand, the importance of the temporal aspect of information has become increasingly apparent. The aim of this paper is to investigate the effect of using long-term temporal profiles of terms in information retrieval by enhancing the term selection process of pseudo-relevance feedback (PRF). For this purpose, two temporal PRF approaches were introduced considering only temporal aspect and temporal along with textual aspect. Experiments used the AP88-89 and WSJ87-92 test collections with TREC Ad-Hoc Topics 51-100. Term temporal profiles are extracted from the Google Books n-grams dataset. The results show that the long-term temporal aspects of terms are capable of enhancing retrieval effectiveness.

Original language	English
Title of host publication	Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of Publication	New York
Pages	1245-1246
Number of pages	2
DOIs	https://doi.org/10.1145/2009916.2010141
Publication status	Published - 24 Jul 2011
Event	34th Annual ACM SIGIR Conference - Beijing, China Duration: 24 Jul 2011 → 28 Jul 2011 http://www.sigir2011.org/

Conference

Conference	34th Annual ACM SIGIR Conference
Country/Territory	China
City	Beijing
Period	24/07/11 → 28/07/11
Internet address	http://www.sigir2011.org/

Keywords

relevance feedback
retrieval
temporal profiles
pseudo-relevance feedback (PRF)

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10.1145/2009916.2010141

Cite this

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title = "Exploring term temporality for pseudo-relevance feedback",

abstract = "As digital collections expand, the importance of the temporal aspect of information has become increasingly apparent. The aim of this paper is to investigate the effect of using long-term temporal profiles of terms in information retrieval by enhancing the term selection process of pseudo-relevance feedback (PRF). For this purpose, two temporal PRF approaches were introduced considering only temporal aspect and temporal along with textual aspect. Experiments used the AP88-89 and WSJ87-92 test collections with TREC Ad-Hoc Topics 51-100. Term temporal profiles are extracted from the Google Books n-grams dataset. The results show that the long-term temporal aspects of terms are capable of enhancing retrieval effectiveness.",

keywords = "relevance feedback, retrieval, temporal profiles, pseudo-relevance feedback (PRF)",

author = "Stewart Whiting and Yashar Moshfeghi and Jose, \{Joemon M.\}",

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doi = "10.1145/2009916.2010141",

language = "English",

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booktitle = "Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval",

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T1 - Exploring term temporality for pseudo-relevance feedback

AU - Whiting, Stewart

AU - Moshfeghi, Yashar

AU - Jose, Joemon M.

PY - 2011/7/24

Y1 - 2011/7/24

N2 - As digital collections expand, the importance of the temporal aspect of information has become increasingly apparent. The aim of this paper is to investigate the effect of using long-term temporal profiles of terms in information retrieval by enhancing the term selection process of pseudo-relevance feedback (PRF). For this purpose, two temporal PRF approaches were introduced considering only temporal aspect and temporal along with textual aspect. Experiments used the AP88-89 and WSJ87-92 test collections with TREC Ad-Hoc Topics 51-100. Term temporal profiles are extracted from the Google Books n-grams dataset. The results show that the long-term temporal aspects of terms are capable of enhancing retrieval effectiveness.

AB - As digital collections expand, the importance of the temporal aspect of information has become increasingly apparent. The aim of this paper is to investigate the effect of using long-term temporal profiles of terms in information retrieval by enhancing the term selection process of pseudo-relevance feedback (PRF). For this purpose, two temporal PRF approaches were introduced considering only temporal aspect and temporal along with textual aspect. Experiments used the AP88-89 and WSJ87-92 test collections with TREC Ad-Hoc Topics 51-100. Term temporal profiles are extracted from the Google Books n-grams dataset. The results show that the long-term temporal aspects of terms are capable of enhancing retrieval effectiveness.

KW - relevance feedback

KW - retrieval

KW - temporal profiles

KW - pseudo-relevance feedback (PRF)

UR - http://www.sigir2011.org/

UR - https://dl.acm.org/

U2 - 10.1145/2009916.2010141

DO - 10.1145/2009916.2010141

M3 - Conference contribution book

SN - 9781450307574

SP - 1245

EP - 1246

BT - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

CY - New York

T2 - 34th Annual ACM SIGIR Conference

Y2 - 24 July 2011 through 28 July 2011

ER -

Exploring term temporality for pseudo-relevance feedback

Abstract

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Keywords

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