A Combined Relevance Feedback Approach for User Recommendation in E-commerce Applications

Recommender systems in e-commerce applications help consumers with information useful to decide which products to purchase, suggesting products, services, and information items to potential consumers. Nowadays recommender systems interfaces are more oriented to technical people than to normal consumer, that are really not necessarily expert of statistic, scores and so on. In this paper we propose to join the capabilities of relevance feedback with recommendation strategies in a more useful architecture based on 3D navigation systems. A general framework is described, together with novel techniques oriented to an effective human-computer interaction. An example of the proposed system is also discussed.