Ramp-Up-Effects in Spatial Aware Recommender Systems

This paper studies the ramp up behaviour of recommender systems that incorporate spatial relationships. Two previously proposed algorithms are compared regarding their recommendation quality in situations with only little data available. Additionally a third algorithm is proposed which can be used to improve recommendation quality during the ramp-upphase. It uses approaches from item-based recommender systems to gather knowledge from an already established recommender system and transports it to a new recommender system.