Cited by 14

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Recency ranking by diversification of result set

Styskin, Andrey, Romanenko, Fedor, Vorobyev, Fedor, Serdyukov, Pavel·2011·Proceedings of the 20th ACM international conference on Information and knowledge management

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Crossref · 10.1145/2063576.2063862

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Research works printed but not linked: 9

  1. 10.1145/1498759.1498766 · DOI
  2. 10.1145/1390334.1390446 · DOI
  3. 10.1145/1718487.1718490 · DOI
  4. 10.1145/1772690.1772725 · DOI
  5. 10.1145/1571941.1571997 · DOI
  6. 10.1145/1281192.1281295 · DOI
  7. Jerome H. Friedman. Greedy function approximation: A gradient boosting machine In Annals of Statistics 29 pages 1189--1232 2001. Jerome H. Friedman. Greedy function approximation: A gradient boosting machine In Annals of Statistics 29 pages 1189--1232 2001. · DOI · Paper page
  8. 10.1145/1645953.1646033 · DOI
  9. 10.1145/1458082.1458092 · DOI

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Metadata

Authors
Styskin, A., Romanenko, F., Vorobyev, F., & Serdyukov, P.
Affiliations
Yandex, Moscow, Russian Fed.
Venue
Proceedings of the 20th ACM international conference on Information and knowledge management
Publisher
ACM
Published
2011-10-24
Pages
1949-1952
Cited by
14
References
0

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.

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