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Determining Time of Queries for Re-ranking Search Results

Kanhabua, Nattiya, Nørvåg, Kjetil·2010·Lecture Notes in Computer Science

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Integrity signals

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Crossref · 10.1007/978-3-642-15464-5_27

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Citations

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Research works printed but not linked: 13

  1. Berberich, K., Bedathur, S., Alonso, O., Weikum, G.: A language modeling approach for temporal information needs. In: Proceedings of ECIR 2010 (2010) · DOI · Paper page
  2. Berberich, K., Bedathur, S.J., Neumann, T., Weikum, G.: A time machine for text search. In: Proceedings of SIGIR 2007 (2007) · DOI
  3. de Jong, F., Rode, H., Hiemstra, D.: Temporal language models for the disclosure of historical text. In: Proceedings of AHC 2005 (History and Computing) (2005)
  4. Diaz, F., Jones, R.: Using temporal profiles of queries for precision prediction. In: Proceedings of the 27th SIGIR (2004) · DOI
  5. Jatowt, A., Kawai, Y., Tanaka, K.: Temporal ranking of search engine results. In: Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, J.-Y., Sheng, Q.Z. (eds.) WISE 2005. LNCS, vol. 3806, pp. 43–52. Springer, Heidelberg (2005) · DOI
  6. Kanhabua, N., Nørvåg, K.: Improving temporal language models for determining time of non-timestamped documents. In: Christensen-Dalsgaard, B., Castelli, D., Ammitzbøll Jurik, B., Lippincott, J. (eds.) ECDL 2008. LNCS, vol. 5173, pp. 358–370. Springer, Heidelberg (2008) · DOI · Paper page
  7. Kraaij, W.: Variations on language modeling for information retrieval. SIGIR Forum 39(1), 61 (2005) · DOI
  8. Li, X., Croft, W.B.: Time-based language models. In: Proceedings of CIKM (2003) · DOI · Paper page
  9. Metzler, D., Jones, R., Peng, F., Zhang, R.: Improving search relevance for implicitly temporal queries. In: Proceedings of SIGIR 2009 (2009) · DOI · Paper page
  10. Nørvåg, K.: Supporting temporal text-containment queries in temporal document databases. Journal of Data & Knowledge Engineering 49(1), 105–125 (2004) · DOI
  11. Nunes, S., Ribeiro, C., David, G.: Use of temporal expressions in web search. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 580–584. Springer, Heidelberg (2008) · DOI
  12. Perkiö, J., Buntine, W., Tirri, H.: A temporally adaptive content-based relevance ranking algorithm. In: Proceedings of the 28th SIGIR (2005) · DOI · Paper page
  13. Sato, N., Uehara, M., Sakai, Y.: Temporal ranking for fresh information retrieval. In: Proceedings of the 6th IRAL (2003) · DOI

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Metadata

Authors
Kanhabua, N., & Nørvåg, K.
Venue
Lecture Notes in Computer Science
Published
2010
Pages
261-272
ISSN
  • 0302-9743
  • 1611-3349
Cited by
34
References
0

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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.

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