Enhancing document snippets using temporal information

Authors:
Omar Alonso;Michael Gertz;Ricardo Baeza-Yates
Affiliations:
Microsoft Corp., Mountain View, California;Institute of Computer Science, Heidelberg University, Germany;Yahoo! Research, Barcelona, Spain
Venue:
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Year:
2011

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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 theWikipedia corpus using crowdsourcing, showing that snippets that have temporal information are preferred by the users.