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International Conference on User Modeling, Adaptation, and Personalization

UMAP 2014: User Modeling, Adaptation, and Personalization pp 195–206Cite as

Text-Based User-kNN: Measuring User Similarity Based on Text Reviews

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 8538)

Abstract

This article reports on a modification of the user-kNN algorithm that measures the similarity between users based on the similarity of text reviews, instead of ratings. We investigate the performance of text semantic similarity measures and we evaluate our text-based user-kNN approach by comparing it to a range of ratings-based approaches in a ratings prediction task. We do so by using datasets from two different domains: movies from RottenTomatoes and Audio CDs from Amazon Products. Our results show that the text-based userkNN algorithm performs significantly better than the ratings-based approaches in terms of accuracy measured using RMSE.

Keywords

  • Recommender systems
  • Collaborative Filtering
  • Text reviews
  • Semantic similarity measures

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  • DOI: 10.1007/978-3-319-08786-3_17
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Author information

Authors and Affiliations

  1. School of Computing & Communications, InfoLab21, Lancaster University, LA1 4WA, Lancaster, UK

    Maria Terzi, Matthew Rowe, Maria-Angela Ferrario & Jon Whittle

Authors
  1. Maria Terzi
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  2. Matthew Rowe
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  3. Maria-Angela Ferrario
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  4. Jon Whittle
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Editor information

Editors and Affiliations

  1. School of Computing, University of Leeds, United Kingdom

    Vania Dimitrova

  2. University of Haifa, Israel

    Tsvi Kuflik

  3. Department of Information and Computer Sciences, University of Hawaii, 96822, Honolulu, HI, USA

    David Chin

  4. Free University of Bozen - Bolzano, Piazza Domenicani 3, 39100, Bolzano, Italy

    Francesco Ricci

  5. Department of Computer Science, Aalborg University, Selma Lagerlofs Vej, 300 9220, Aalborg-East, Denmark

    Peter Dolog

  6. EEMCS - Web Information Systems, 2600 GA, Delft, The Netherlands

    Geert-Jan Houben

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Terzi, M., Rowe, M., Ferrario, MA., Whittle, J. (2014). Text-Based User-kNN: Measuring User Similarity Based on Text Reviews. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, GJ. (eds) User Modeling, Adaptation, and Personalization. UMAP 2014. Lecture Notes in Computer Science, vol 8538. Springer, Cham. https://doi.org/10.1007/978-3-319-08786-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-08786-3_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08785-6

  • Online ISBN: 978-3-319-08786-3

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