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      Utilizing popularity characteristics for product recommendation

      Ahn, Hyung Jun
      DOI
       10.2753/JEC1086-4415110203
      Link
       mesharpe.metapress.com
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      Citation
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      Ahn, H. J. (2006). Utilizing popularity characteristics for product recommendation. International Journal of Electronic Commerce, 11(2), 57-78.
      Permanent Research Commons link: https://hdl.handle.net/10289/1895
      Abstract
      This paper presents a novel approach to automated product recommendation based on the popularity characteristics of products. Popularity plays a significant role in the consumer purchasing process but has not been given much attention in recommendation research. A three-dimensional model of popularity is used to develop popularity classes of products. These are joined with the MovieLens dataset to create a hybrid movie recommendation system that combines genre and popularity information. As compared with collaborative filtering, the hybrid system shows positive results under the conditions of data sparsity and cold-starting. Many interesting issues for further research are suggested.
      Date
      2006
      Type
      Journal Article
      Publisher
      M E Sharpe
      Collections
      • Management Papers [1125]
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