Now showing items 1-2 of 2

    • Polimovie: a feature-based dataset for recommender systems 

      Nasery M; Elahi M; Cremonesi P (ACM, 2015)
      Many recommender systems enrich traditional user-rating datasets with side information about features of items (e.g., genre, director, cast) and build user models as estimates of users’ interests on features. These models ...
    • Recommendations with optimal combination of feature-based and item-based preferences 

      Nasery M; Braunhofer M; Ricci F (Association for Computing Machinery, Inc, 2016)
      Many recommender systems rely on item ratings to predict users' preferences and generate recommendations. However, users often express preferences by referring to features of the items, e.g., "I like Tarantino's movies". ...