Recommender Systems

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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3rd Workshop on context-awareness in retrieval and recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
M. Böhmer, E.W. De Luca, Alan Said, J. Teevan
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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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Introduction to special section on CAMRa2010: Movie recommendation in context
The challenge and workshop on Context-Aware Movie Recommendation (CAMRa2010) were conducted jointly in 2010 with the Recommender …
Alan Said, S. Berkovsky, E.W. De Luca
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News Recommendation in the Wild: CWI's Recommendation Algorithms in the NRS type: publication profile: false Challenge
This work presents the recommendation algorithms deployed by the winning team (recomenders.net) in the ACM RecSys 2013 News Recommender …
Alan Said, Alejandro Bellogín, Arjen De Vries
Jan 1, 2013
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Analyzing weighting schemes in collaborative filtering: Cold start, post cold type: publication profile: false start and power users
Collaborative filtering recommender systems provide their users with relevant items based on information from other similar users. …
Alan Said, B.J. Jain, S. Albayrak
Jan 1, 2012
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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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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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