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Mobile Clustering Engine

  • Conference paper
Advances in Information Retrieval (ECIR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3936))

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Abstract

Although mobile information retrieval is seen as the next frontier of the search market, the rendering of results on mobile devices is still unsatisfactory. We present Credino, a clustering engine for PDAs based on the theory of concept lattices that can help overcome some specific challenges posed by small-screen, narrow-band devices. Credino is probably the first clustering engine for mobile devices freely available for testing on the Web. An experimental evaluation, besides confirming that finding information is more difficult on a PDA than on a desktop computer, suggests that mobile clustering engine is more effective than mobile search engine.

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© 2006 Springer-Verlag Berlin Heidelberg

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Carpineto, C., Della Pietra, A., Mizzaro, S., Romano, G. (2006). Mobile Clustering Engine. In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_15

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  • DOI: https://doi.org/10.1007/11735106_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33347-0

  • Online ISBN: 978-3-540-33348-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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