CoChat
Sign Up
Cited by 78

The DOI matches its Crossref record.

Estimation methods for ranking recent information

Efron, Miles, Golovchinsky, Gene·2011·Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
DOI 10.1145/2009916.2009984
Open this paper in CoChat — free account

Abstract

Temporal aspects of documents can impact relevance for certain kinds of queries. In this paper, we build on earlier work of modeling temporal information. We propose an extension to the Query Likelihood Model that incorporates query-specific information to estimate rate parameters, and we introduce a temporal factor into language model smoothing and query expansion using pseudo-relevance feedback. We evaluate these extensions using a Twitter corpus and two newspaper article collections. Results suggest that, compared to prior approaches, our models are more effective at capturing the temporal variability of relevance associated with some topics.

Overview

Integrity signals

Registry

Crossref · 10.1145/2009916.2009984

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 25

  1. 10.1145/1498759.1498837 · DOI
  2. 10.1145/1866029.1866077 · DOI
  3. Bolstad , W.M. Introduction to Bayesian Statistics . Wiley-Interscience . Bolstad, W.M. Introduction to Bayesian Statistics. Wiley-Interscience.
  4. 10.1145/1835449.1835471 · DOI · Paper page
  5. 10.1109/TKDE.2010.187 · DOI
  6. 10.1145/1772690.1772725 · DOI
  7. 10.1145/1835449.1835616 · DOI
  8. Efron , M. and Winget , M . 2010. Questions are content: A Taxonomy of Questions in a Microblogging Environment . Proceedings of the 2010 Annual Meeting of the American Society for Information Science and Technology. ( 2010 ). Efron, M. and Winget, M. 2010. Questions are content: A Taxonomy of Questions in a Microblogging Environment. Proceedings of the 2010 Annual Meeting of the American Society for Information Science and Technology. (2010).
  9. 10.1145/1460563.1460641 · DOI
  10. Golovchinsky , G. and Efron , M . 2010. Making sense of Twitter search . Proc. CHI2010 Workshop on Microblogging: What and How Can We Learn From It? April 11, 2010 . (2010). Golovchinsky, G. and Efron, M. 2010. Making sense of Twitter search. Proc. CHI2010 Workshop on Microblogging: What and How Can We Learn From It? April 11, 2010. (2010).
  11. 10.1145/1772690.1772735 · DOI
  12. 10.1145/1247715.1247720 · DOI · Paper page
  13. 10.1145/1651437 · DOI
  14. 10.1145/383952.383972 · DOI
  15. 10.1145/956863.956951 · DOI · Paper page
  16. 10.1145/1753326.1753587 · DOI
  17. 10.1145/1458082.1458200 · DOI
  18. 10.1145/290941.291008 · DOI · Paper page
  19. Robertson , S.E. Walker , S. , Jones , S. , Hancock-Beaulieu , M.M. , and Gatford , M . 1994. Okapi at TREC-3 . In Proceedings of the Third Text REtrieval Conference (TREC 1994) ( 1994 ). Robertson, S.E. Walker, S., Jones, S., Hancock-Beaulieu, M.M., and Gatford, M. 1994. Okapi at TREC-3. In Proceedings of the Third Text REtrieval Conference (TREC 1994) (1994).
  20. 10.1145/1753326.1753530 · DOI
  21. 10.1145/1297797.1297822 · DOI
  22. 10.1145/1935826.1935863 · DOI
  23. 10.1145/502585.502654 · DOI
  24. 10.1145/984321.984322 · DOI
  25. 10.1561/1500000008 · DOI

Cited by

Sorted by citations

See all 78

Metadata

Authors
Efron, M., & Golovchinsky, G.
Affiliations
  • University of Illinois, Urbana-Champaign, IL, USA
  • FX Palo Alto Laboratory, Inc., Palo Alto, CA, USA
Venue
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Publisher
ACM
Published
2011-07-24
Pages
495-504
DOI
10.1145/2009916.2009984
Cited by
78
References
0
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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