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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Alonso, O., Strötgen, J., Baeza-Yates, R., Gertz, M.: Temporal Information Retrieval: Challenges and Opportunities. In: TWAW Workshop, WWW 2011, pp. 1–8 (2011)
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)
Mani, I., Pustejovsky, J., Gaizauskas, R. (eds.): The Language of Time. Oxford University Press, Oxford (2005)
Rose, D., Orr, D., Kantamneni, R.: Summary Attributes and Perceived Search Quality. In: 16th WWW, pp. 1201–1202 (2007)
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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. https://doi.org/10.1007/978-3-642-24583-1_4
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DOI: https://doi.org/10.1007/978-3-642-24583-1_4
Publisher Name: Springer, Berlin, Heidelberg
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