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Utilizing popularity characteristics for product recommendation

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.
Type
Journal Article
Type of thesis
Series
Citation
Ahn, H. J. (2006). Utilizing popularity characteristics for product recommendation. International Journal of Electronic Commerce, 11(2), 57-78.
Date
2006
Publisher
M E Sharpe
Degree
Supervisors
Rights
Publisher version