The DOI matches its Crossref record.
Temporal profiles of queries
Abstract
Documents with timestamps, such as email and news, can be placed along a timeline. The timeline for a set of documents returned in response to a query gives an indication of how documents relevant to that query are distributed in time. Examining the timeline of a query result set allows us to characterize both how temporally dependent the topic is, as well as how relevant the results are likely to be. We outline characteristic patterns in query result set timelines, and show experimentally that we can automatically classify documents into these classes. We also show that properties of the query result set timeline can help predict the mean average precision of a query. These results show that meta-features associated with a query can be combined with text retrieval techniques to improve our understanding and treatment of text search on documents with timestamps.
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
“[Jones and Diaz 2007] asked a few annotators to classify 51 TREC ad hoc queries using TREC topic descriptions and concluded that 54% of the queries belong to the atemporal class and 46% belong to the temporally ambiguous one.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Jones and Diaz 2007
In the citing paper
“[Jones and Diaz 2007] asked a few annotators to classify 51 TREC ad hoc queries using TREC topic descriptions and concluded that 54% of the queries belong to the atemporal class and 46% belong to the temporally ambiguous one.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Jones and Diaz 2007
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 17
- 10.1145/860435.860453 · DOI
- 10.1145/1008992.1009065 · DOI
- Croft W. B. and Lafferty J. 2003. Language Modeling for Information Retrieval. Kluwer Academic Publishers. Croft W. B. and Lafferty J. 2003. Language Modeling for Information Retrieval. Kluwer Academic Publishers. · DOI
- 10.1145/564376.564429 · DOI
- 10.1145/1008992.1008998 · DOI
- He , B. and Ounis , I . 2004. Inferring query performance using pre-retrieval predictors . In Proceedings of the 11th Symposium on String Processing and Information Retrieval (SPIRE 2004) (Padova, Italy). Lecture Notes in Computer Science, Springer-Verlag, New York. He, B. and Ounis, I. 2004. Inferring query performance using pre-retrieval predictors. In Proceedings of the 11th Symposium on String Processing and Information Retrieval (SPIRE 2004) (Padova, Italy). Lecture Notes in Computer Science, Springer-Verlag, New York.
- 10.1145/775047.775061 · DOI
- 10.1145/160688.160718 · DOI
- 10.1145/383952.383972 · DOI
- 10.1145/956863.956951 · DOI · Paper page
- 10.3115/1075218.1075228 · DOI · Paper page
- Manning C. D. and Schütze H. 1999. Foundations of Statistical Natural Language Processing. MIT Press Cambridge MA. Manning C. D. and Schütze H. 1999. Foundations of Statistical Natural Language Processing. MIT Press Cambridge MA.
- Quinlan , J. R. 1993. C4.5 : Programs for Machine Learning. Morgan-Kaufmann , Franciso, CA . Quinlan, J. R. 1993. C4.5: Programs for Machine Learning. Morgan-Kaufmann, Franciso, CA.
- Salton , G. 1971. The SMART Retrieval System&##8212;Experiments in Automatic Document Processing . Prentice-Hall, Inc. , Upper Saddle River, NJ. Salton, G. 1971. The SMART Retrieval System&##8212;Experiments in Automatic Document Processing. Prentice-Hall, Inc., Upper Saddle River, NJ.
- Swan , R. and Jensen , D . 2000. TimeMines: Constructing timelines with statistical models of word usage . In Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2000 ). ACM, New York, 73--80. Swan, R. and Jensen, D. 2000. TimeMines: Constructing timelines with statistical models of word usage. In Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2000). ACM, New York, 73--80.
- 10.3115/1119282.1119287 · DOI
- Voorhees , E. M. and Harman , D. K. , Eds . 2001 . TREC : Experiment and Evaluation in Information Retrieval. MIT Press , Cambridge, MA. Voorhees, E. M. and Harman, D. K., Eds. 2001. TREC: Experiment and Evaluation in Information Retrieval. MIT Press, Cambridge, MA.
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
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
Metadata
- Authors
- Jones, R., & Diaz, F.
- Affiliations
- Yahoo! Research, Burbank, CA
- University of Massachusetts, Amherst, MA
- Venue
- ACM Transactions on Information Systems
- Published
- 2007-07
- Volume
- 25
- Issue
- 3
- Pages
- 14
- ISSN
- 1046-8188
- 1558-2868
- Cited by
- 147
- References
- 0
- Language
- en
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 ›
Are you an author, or do you see a problem with this page? Request a review