The DOI matches its Crossref record.
Improving search relevance for implicitly temporal queries
Abstract
Many web search queries have implicit intents associated with them that, if detected and used effectively, can be used to improve search quality. For example, a user who enters the query “toyota camry ” may wish to find the official web
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Only 7% of queries have an implicit temporal nature.
“[Metzler et al. 2009] in turn, relied on web query logs to infer the implicit temporal values of queries based on similar explicit temporal queries, concluding that only 7% have an implicit temporal nature.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Metzler et al. 2009
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Research works printed but not linked: 4
- 10.1145/1060745.1060752 · DOI
- 10.1145/1458082.1458320 · DOI
- 10.1145/1008992.1008998 · DOI
- 10.1145/956863.956951 · DOI · Paper page
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Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Metadata
- Authors
- Metzler, D., Jones, R., Peng, F., & Zhang, R.
- Affiliations
- Yahoo! Labs, Santa Clara, CA, USA
- Venue
- Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 2009-07-19
- Pages
- 700-701
- Cited by
- 94
- References
- 0
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