Enhancing Document Snippets Using Temporal Information

  • Omar Alonso
  • Michael Gertz
  • Ricardo Baeza-Yates
Conference paper

DOI: 10.1007/978-3-642-24583-1_4

Volume 7024 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Alonso O., Gertz M., Baeza-Yates R. (2011) Enhancing Document Snippets Using Temporal Information. In: Grossi R., Sebastiani F., Silvestri F. (eds) String Processing and Information Retrieval. SPIRE 2011. Lecture Notes in Computer Science, vol 7024. Springer, Berlin, Heidelberg

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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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