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Exploring term temporality for pseudo-relevance feedback

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SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Pages 1245 - 1246

https://doi.org/10.1145/2009916.2010141

Published: 24 July 2011 Publication History

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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.

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Cited By

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Kataoka DTajima K(2018)SNS Retrieval Based on User Profile Estimation Using Transfer Learning from Web Search2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-79(278-285)Online publication date: Dec-2018
https://doi.org/10.1109/WI.2018.00-79
Kataoka DKato MYamamoto TOhshima HTanaka KSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Context-aware relevance feedback over SNS graph dataProceedings of the International Conference on Web Intelligence10.1145/3106426.3106527(823-830)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3106527
Wang ZZhang M(2015)Feedback Model for Microblog RetrievalDatabase Systems for Advanced Applications10.1007/978-3-319-18120-2_31(529-544)Online publication date: 9-Apr-2015
https://doi.org/10.1007/978-3-319-18120-2_31
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Index Terms

Exploring term temporality for pseudo-relevance feedback
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment

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Published In

SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

July 2011

1374 pages

ISBN:9781450307574

DOI:10.1145/2009916

General Chairs:
Wei-Ying Ma
Microsoft Research Asia, China
,
Jian-Yun Nie
University of Montreal, Canada
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Research, Spain
,
Tat-Seng Chua
National University of Singapore
,
W. Bruce Croft
University of Massachusetts, Amherst, USA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 July 2011

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SIGIR '11: The 34th International ACM SIGIR conference on research and development in Information Retrieval

July 24 - 28, 2011

Beijing, China

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Kataoka DTajima K(2018)SNS Retrieval Based on User Profile Estimation Using Transfer Learning from Web Search2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-79(278-285)Online publication date: Dec-2018
https://doi.org/10.1109/WI.2018.00-79
Kataoka DKato MYamamoto TOhshima HTanaka KSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Context-aware relevance feedback over SNS graph dataProceedings of the International Conference on Web Intelligence10.1145/3106426.3106527(823-830)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3106527
Wang ZZhang M(2015)Feedback Model for Microblog RetrievalDatabase Systems for Advanced Applications10.1007/978-3-319-18120-2_31(529-544)Online publication date: 9-Apr-2015
https://doi.org/10.1007/978-3-319-18120-2_31
Craveiro OMacedo JMadeira H(2014)Query Expansion with Temporal Segmented TextsProceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 841610.5555/2964060.2964106(612-617)Online publication date: 13-Apr-2014
https://dl.acm.org/doi/10.5555/2964060.2964106
Rodriguez Perez JMoshfeghi YJose JSchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)On using inter-document relations in microblog retrievalProceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2487820(75-76)Online publication date: 13-May-2013
https://dl.acm.org/doi/10.1145/2487788.2487820
McParlane PJose J(2013)Exploiting time in automatic image taggingProceedings of the 35th European conference on Advances in Information Retrieval10.1007/978-3-642-36973-5_44(520-531)Online publication date: 24-Mar-2013
https://dl.acm.org/doi/10.1007/978-3-642-36973-5_44
Whiting SKlampanos IJose J(2012)Temporal pseudo-relevance feedback in microblog retrievalProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_55(522-526)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-28997-2_55

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The effect of low-level image features on pseudo relevance feedback

A Clustering Approach to Improving Pseudo-Relevance Feedback: Improving Retrieval Effetiveness by Removing Noisy Documents

Document-based and term-based linear methods for pseudo-relevance feedback

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