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Cited by 54

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Leveraging temporal dynamics of document content in relevance ranking

Elsas, Jonathan L., Dumais, Susan T.·2010·Proceedings of the third ACM international conference on Web search and data mining
DOI 10.1145/1718487.1718489
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Abstract

Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document content, with only a single version of the document in the index at any point in time. In this paper, we present the first published analysis of using the temporal dynamics of document content to improve relevance ranking. We show that there is a strong relationship between the amount and frequency of content change and relevance. We develop a novel probabilistic document ranking algorithm that allows differential weighting of terms based on their temporal characteristics. By leveraging such content dynamics we show significant performance improvements for navigational queries.

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Research works printed but not linked: 20

  1. 10.1145/1449715.1449756 · DOI
  2. 10.1145/1518701.1518909 · DOI
  3. 10.1145/1498759.1498837 · DOI
  4. 10.1145/1148170.1148273 · DOI · Paper page
  5. 10.1145/133160.133183 · DOI
  6. 10.1145/1277741.1277831 · DOI
  7. 10.1016/S0169-7552(97)00031-7 · DOI
  8. 10.1145/1066157.1066220 · DOI · Paper page
  9. 10.1145/1008992.1008998 · DOI
  10. 10.1145/775152.775246 · DOI · Paper page
  11. 10.5555/1763653.1763666 · DOI
  12. 10.1145/1367497.1367736 · DOI
  13. 10.1145/1247715.1247720 · DOI · Paper page
  14. 10.1145/1060745.1060804 · DOI
  15. 10.1145/956863.956951 · DOI · Paper page
  16. 10.1145/988672.988674 · DOI
  17. 10.1145/860435.860463 · DOI
  18. 10.1145/1367497.1367557 · DOI
  19. 10.1145/984321.984322 · DOI
  20. 10.5555/1620853.1620899 · DOI

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Metadata

Authors
Elsas, J. L., & Dumais, S. T.
Affiliations
  • Carnegie Mellon University, Pittsburgh, PA, USA
  • Microsoft Research, Redmond, WA, USA
Venue
Proceedings of the third ACM international conference on Web search and data mining
Publisher
ACM
Published
2010-02-04
Pages
1-10
DOI
10.1145/1718487.1718489
Cited by
54
References
1
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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