Evaluation

A month in the life of a production news recommender system
During the last decade, recommender systems have become a ubiquitous feature in the online world. Research on systems and algorithms in …
Alan Said, Jimmy Lin, Alejandro Bellogín, Arjen De Vries
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Workshop on reproducibility and replication in recommender systems evaluation
Experiment replication and reproduction are key requirements for empirical research methodology, and an important open issue in the …
Alejandro Bellogin, Pablo Castells, Alan Said, Domonkos Tikk
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Workshop on benchmarking adaptive retrieval and recommender systems
Evaluating adaptive and personalized information retrieval tech-niques is known to be a difficult endeavor. The rapid evolution of …
Pablo Castells, Frank Hopfgartner, Alan Said, Mounia Lalmas
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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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A 3D approach to recommender system evaluation
In this work we describe an approach at multi-objective recommender system evaluation based on a previously introduced 3D benchmarking …
Alan Said, S. Albayrak, B.J. Jain
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Information retrieval and user-centric recommender system evaluation
Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the …
Alan Said, A. Bellogín, A. De Vries, B. Kille
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Estimating the magic barrier of recommender systems: A user study
Recommender systems are commonly evaluated by trying to predict known, withheld, ratings for a set of users. Measures such as the …
Alan Said, B.J. Jain, S. Narr, T. Plumbaum, S. Albayrak, C. Scheel
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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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The challenge of recommender systems challenges
Recommender System Challenges such as the Netix Prize, KDD Cup, etc. have contributed vastly to the development and adoptability of …
Alan Said, D. Tikk, A. Hotho
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