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Map Based Visualization of Product Catalogs

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Abstract

Traditionally, recommender systems present recommendations in ranked lists to the user. In content- and knowledge-based recommender systems, these lists are often sorted on some notion of similarity with a query, ideal product specification, or sample product. However, a lot of information is lost in this way, since two products with the same similarity to a query can differ from this query on a completely different set of product characteristics. When using a two dimensional map based visualization of the recommendations, it is possible to retain part of this information. In the map, we can then position recommendations that are similar to each other in the same area of the map.

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Acknowledgements

We thank Compare Group for making their product catalog and clickstream log files available to us.

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Authors and Affiliations

  1. Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Martijn Kagie, Michiel van Wezel & Patrick J.F. Groenen

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  1. Martijn Kagie
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  2. Michiel van Wezel
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  3. Patrick J.F. Groenen
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Corresponding author

Correspondence to Martijn Kagie .

Editor information

Editors and Affiliations

  1. , Faculty of Computer Science, Free University of Bozen-Bolzano, Piazza Domenicani 3, Bolzano, 39100, Italy

    Francesco Ricci

  2. , Dept. Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel

    Lior Rokach

  3. Dept. Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Bracha Shapira

  4. School of Communication,, Information & Library Studies, Rutgers University, Huntington Street 4, New Brunswick, 08901-1071, New Jersey, USA

    Paul B. Kantor

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Kagie, M., van Wezel, M., Groenen, P.J. (2011). Map Based Visualization of Product Catalogs. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P. (eds) Recommender Systems Handbook. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-85820-3_17

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  • DOI: https://doi.org/10.1007/978-0-387-85820-3_17

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