Enhancing Document Snippets Using Temporal Information

  • Omar Alonso
  • Michael Gertz
  • Ricardo Baeza-Yates
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7024)

Abstract

In this paper we propose an algorithm to enhance the quality of document snippets shown in a search engine by using temporal expressions. We evaluate our proposal in a subset of the Wikipedia corpus using crowdsourcing, showing that snippets that have temporal information are preferred by the users.

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References

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    Alonso, O., Strötgen, J., Baeza-Yates, R., Gertz, M.: Temporal Information Retrieval: Challenges and Opportunities. In: TWAW Workshop, WWW 2011, pp. 1–8 (2011)Google Scholar
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    Alonso, O., Gertz, M., Baeza-Yates, R.: Temporal analysis of document collections: Framework and applications. In: Chavez, E., Lonardi, S. (eds.) SPIRE 2010. LNCS, vol. 6393, pp. 290–296. Springer, Heidelberg (2010)CrossRefGoogle Scholar
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    Mani, I., Pustejovsky, J., Gaizauskas, R. (eds.): The Language of Time. Oxford University Press, Oxford (2005)Google Scholar
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    Rose, D., Orr, D., Kantamneni, R.: Summary Attributes and Perceived Search Quality. In: 16th WWW, pp. 1201–1202 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Omar Alonso
    • 1
  • Michael Gertz
    • 2
  • Ricardo Baeza-Yates
    • 3
  1. 1.Microsoft Corp.Mountain ViewU.S.A.
  2. 2.Institute of Computer ScienceHeidelberg UniversityGermany
  3. 3.Yahoo! ResearchBarcelonaSpain

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