Time-based language models

Xiaoyan Li, W. Bruce Croft

Research output: Contribution to conferencePaper

184 Scopus citations

Abstract

We explore the relationship between time and relevance using TREC ad-hoc queries. A type of query is identified that favors very recent documents. We propose a time-based language model approach to retrieval for these queries. We show how time can be incorporated into both query-likelihood models and relevance models. These models were used for experiments comparing time-based language models to heuristic techniques for incorporating document recency in the ranking. Our results show that time-based models perform as well as or better than the best of the heuristic techniques.

Original languageEnglish (US)
Pages469-475
Number of pages7
DOIs
StatePublished - 2003
Externally publishedYes
EventCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management - New Orleans, LA, United States
Duration: Nov 3 2003Nov 8 2003

Conference

ConferenceCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
CountryUnited States
CityNew Orleans, LA
Period11/3/0311/8/03

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)

Keywords

  • Information retrieval
  • Language models
  • Recency queries
  • Relevance models
  • Time-based language models

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  • Cite this

    Li, X., & Croft, W. B. (2003). Time-based language models. 469-475. Paper presented at CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management, New Orleans, LA, United States. https://doi.org/10.1145/956950.956951