User-centric evaluation

User-centric evaluation of a K-furthest neighbor collaborative filtering recommender
Collaborative filtering recommender systems often use nearest neighbor methods to identify candidate items. In this paper we present an …
Alan Said, Ben Fields, Brijnesh J. Jain, Sahin Albayrak
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Correlating perception-oriented aspects in user-centric recommender system
Research on recommender systems evaluation generally measures the quality of the algorithm, or system, offline, i.e. based on some …
Alan Said, B.J. Jain, A. Lommatzsch, S. Albayrak
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KMulE: A framework for user-based comparison of recommender algorithms
Collaborative Filtering Recommender Systems come in a wide variety of variants. In this paper we present a system for visualizing and …
Alan Said, E.W. De Luca, B. Kille, B. Jain, I. Micus, S. Albayrak
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