Ahn, Hyung Jun2009-01-282009-01-282006Ahn, H. J. (2006). Utilizing popularity characteristics for product recommendation. International Journal of Electronic Commerce, 11(2), 57-78.https://hdl.handle.net/10289/1895This 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.enautomated product recommendationcold-startinghybrid recommender systemnaive Bayesianpopularity-based recommendationpopularity modelsparsityJournal Article10.2753/JEC1086-4415110203