Recommender Systems

pp 283-308


Time- and Location-Sensitive Recommender Systems

  • Charu C. AggarwalAffiliated withIBM T.J. Watson Research Center

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In many real scenarios, the buying and rating behaviors of customers are associated with temporal information. For example, the ratings in the Netflix Prize data set are associated with a “GradeDate” variable, and it was eventually shown [310] how the temporal component could be used to improve the rating predictions.