LARS*: An Efficient and Scalable Location-Aware Recommender System

  title={LARS*: An Efficient and Scalable Location-Aware Recommender System},
  author={Mohamed Sarwat and Justin J. Levandoski and Ahmed Eldawy and Mohamed F. Mokbel},
  journal={IEEE Transactions on Knowledge and Data Engineering},
This paper proposes LARS*, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not consider spatial properties of users nor items; LARS*, on the other hand, supports a taxonomy of three novel classes of location-based ratings, namely, spatial ratings for non-spatial items, non-spatial ratings for spatial items, and spatial ratings for spatial items. LARS* exploits user rating locations through user partitioning, a… CONTINUE READING
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