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Product Recommendations in E-Commerce Retailing Applications


Nicolas Knotzer

Contents: Classification and application models of recommender systems – Business goals – The consumer decision process – Virtual communities and network effects – Consumer-generated content (product reviews) – Functional aspects of recommender systems – Design aspects – Personalized and non-personalized recommendation methods – Research model and hypothesis – Influence of psychographic and sociodemographic determinants on the interest in personalized recommendations.