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Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7899))

Abstract

This paper demonstrates that a user of multilingual search has different interests depending on the language used, and that the user model should reflect this. To demonstrate this phenomenon, the paper proposes and evaluates a set of result re-ranking algorithms based on various user model representations.

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References

  1. Oard, D.W.: Multilingual Information Access. Encyclopedia of Library and Information Sciences, 3rd edn., pp. 3682–3687 (2010)

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  2. Micarelli, A., Gasparetti, F., Sciarrone, F., Gauch, S.: Personalized Search on the World Wide Web. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 195–230. Springer, Heidelberg (2007)

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© 2013 Springer-Verlag Berlin Heidelberg

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Ghorab, M.R., Lawless, S., O’Connor, A., Zhou, D., Wade, V. (2013). Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38844-6_38

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  • DOI: https://doi.org/10.1007/978-3-642-38844-6_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38843-9

  • Online ISBN: 978-3-642-38844-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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