The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Time-sensitive query auto-completion
Abstract
Query auto-completion (QAC) is a common feature in modern search engines. High quality QAC candidates enhance search experience by saving users time that otherwise would be spent on typing each character or word sequentially.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Their results show that predicting the popularity of queries by time series analysis and periodicity estimation is more reliable than straightforwardly using information on past query popularity derived from web query logs.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Shokouhi and Radinsky 2012
Citations
Cites
Modeling and predicting behavioral dynamics on the web
Radinsky, K., Svore, K., Dumais, S., Teevan, J., Bocharov, A., & Horvitz, E. (2012) · Proceedings of the 21st international conference on World Wide Web · doi:10.1145/2187836.2187918 · Cited by 122
Self-citation
Research works printed but not linked: 33
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Cited by
Sorted by citations
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
- Shokouhi, M., & Radinsky, K.
- Affiliations
- Microsoft Research, Cambridge, United Kingdom
- Technion, Israel Institute of Technology, Haifa, Israel
- Venue
- Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 2012-08-12
- Pages
- 601-610
- Cited by
- 95
- References
- 1
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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