We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

A Survey on Temporal Information Retrieval Systems

by Litty K Mathews, S. Deepa Kanmani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 4
Year of Publication: 2012
Authors: Litty K Mathews, S. Deepa Kanmani
10.5120/9271-3461

Litty K Mathews, S. Deepa Kanmani . A Survey on Temporal Information Retrieval Systems. International Journal of Computer Applications. 58, 4 ( November 2012), 24-28. DOI=10.5120/9271-3461

@article{ 10.5120/9271-3461,
author = { Litty K Mathews, S. Deepa Kanmani },
title = { A Survey on Temporal Information Retrieval Systems },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 4 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number4/9271-3461/ },
doi = { 10.5120/9271-3461 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:36.507788+05:30
%A Litty K Mathews
%A S. Deepa Kanmani
%T A Survey on Temporal Information Retrieval Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 4
%P 24-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Temporal Information Retrieval is an emerging research area in the field of Information Retrieval. Due to the immense amount of data in the WWW, and because the contents of documents are strongly time-dependent, it is very tough for the user to retrieve the relevant documents. Traditional Information Retrieval approaches based on topic similarity alone is not sufficient for the search in temporal document collections. The time dimension available in the documents should be incorporated with document ranking for efficient retrieval. This survey gives an introduction to Temporal Information Retrieval and explores the different time-aware retrieval methods and temporal ranking methods for specific types of time-sensitive queries.

References
  1. X. Li and W. B. Croft,"Time-Based Language Models,"Proceedings. 12th ACM Conference Information and Knowledge Management (CIKM '03), 2003.
  2. K. Berberich, S. J. Bedathur, O. Alonso, and G. Weikum. "A language modeling approach for temporal information needs", In Proceedings of the 32nd European Conference on IR Research on Advances in Information Retrieval, ECIR '10, page 13-25,2010.
  3. R. Jones and F. Diaz,"Temporal Profiles of Queries", ACM Transaction on InformationSystems, vol. 25, Issue 3, article 14, 2007.
  4. Gianna M. Del Corso, Antonio Gulli, and Francesco Romani, "Ranking a stream of news". In WWW Proceedings of the 14th International Conference on World Wide Web pages 97– 106, 2005.
  5. N. Kanhabua and K. Norvaag," Determining time of of queries for re-ranking search results", In Proceedings of the 14th European conference on Research and advanced technology for digital libraries, ECDL'10, pages 261–272, 2010.
  6. Ruiqiang Zhang,Yi Chang,Zhaohui Zheng,Donald Metzler and Jian-yun Nie, "Search Result Re-ranking by Feedback Control Adjustment for Time-sensitive Query", In Proceeding NAACL-Short '09 Proceedings of Human Language Technologies, Pages 165-168,2009.
  7. Anlei Dong,Ruiqiang Zhang,Pranam Kolari,Jing Bai,Fernando Diaz,Yi Chang,Zhaohui Zheng and Hongyuan Zha,"Time is of the essence: improving recency ranking using Twitter data", In Proceeding WWW '10 Proceedings of the 19th international conference on World wide web, Pages 331-340,2010.
  8. A. Dong, Y. Chang, Z. Zheng, G. Mishne, J. Bai, R. Zhang,K. Buchner, C. Liao, and F. Diaz. " Towards recency ranking in web search". In Proceedings of the third ACM international conference on Web search and data mining,Pages 11–20, 2010.
  9. D. Metzler, R. Jones, F. Peng, and R. Zhang. Improving search relevance for implicitly temporal queries. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '09,pages 700– 701, 2009.
  10. R. A. Baeza-Yates. Searching the future. In Proceedings of SIGIR workshop on mathematical/formal methods in information retrieval MF/IR, SIGIR '05, 2005.
  11. J. M Ponte and W. B. Croft. A language modeling approach to information retrieval. In Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 98 ,pages 275-281,1998.
Index Terms

Computer Science
Information Sciences

Keywords

Temporal information retrieval temporal ranking Recency sensitive queries Time-aware retrieval model. Year qualified queries