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Social Recommendation and External Resources for Book Search

  • Conference paper
Focused Retrieval of Content and Structure (INEX 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7424))

Abstract

In this paper we describe our participation in the INEX 2011 Book Track and present our contributions. This year a brand new collection of documents issued from Amazon was introduced. It is composed of Amazon entries for real books, and their associated user reviews, ratings and tags.

We tried a traditional approach for retrieval with two query expansion approaches involving Wikipedia as an external source of information. We also took advantage of the social data with recommendation runs that use user ratings and reviews. Our query expansion approaches did not perform well this year, but modeling the popularity and the interestingness of books based on user opinion achieved encouraging results. We also provide in this paper an insight into the combination of several external resources for contextualizing tweets, as part of the Tweet Contextualization track (former QA track).

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Deveaud, R., SanJuan, E., Bellot, P. (2012). Social Recommendation and External Resources for Book Search. In: Geva, S., Kamps, J., Schenkel, R. (eds) Focused Retrieval of Content and Structure. INEX 2011. Lecture Notes in Computer Science, vol 7424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35734-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-35734-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35733-6

  • Online ISBN: 978-3-642-35734-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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