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 language | English (US) |
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Pages | 469-475 |
Number of pages | 7 |
DOIs | |
State | Published - 2003 |
Externally published | Yes |
Event | CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management - New Orleans, LA, United States Duration: Nov 3 2003 → Nov 8 2003 |
Conference
Conference | CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management |
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Country/Territory | United States |
City | New Orleans, LA |
Period | 11/3/03 → 11/8/03 |
All Science Journal Classification (ASJC) codes
- Business, Management and Accounting(all)
Keywords
- Information retrieval
- Language models
- Recency queries
- Relevance models
- Time-based language models