Paper-Conference

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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Recommender systems challenge 2012
The Recommender System Challenge 2012 invited participants to work on two tracks with real-world datasets and to submit their …
N. Manouselis, J. Hermanns, Alan Said, B. Kille, D. Tikk, H. Drachsler, K. Verbert, K. Jack
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Recommender systems evaluation: A 3D benchmark
Recommender systems add value to vast content resources by matching users with items of interest. In recent years, immense progress has …
Alan Said, D. Tikk, Y. Shi, M. Larson, K. Stumpf, P. Cremonesi
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Semantic preference retrieval for querying knowledge bases
This work deals with the problem of automatically creating semantic queries for knowledge bases from preference feedback. Semantic …
C. Scheel, Alan Said, S. Albayrak
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The 2nd Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2012)
E.W. De Luca, M. Böhmer, Alan Said, E.H. Chi
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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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Users and noise: The magic barrier of recommender systems
Recommender systems are crucial components of most commercial web sites to keep users satisfied and to increase revenue. Thus, a lot of …
Alan Said, B.J. Jain, S. Narr, T. Plumbaum
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Challenge on context-aware movie recommendation
This paper provides an overview of CAMRa2011, the second edition of the Challenge on Context-Aware Movie Recommendation. The challenge …
Alan Said, Shlomo Berkovsky, Ernesto William De Luca, Jannis Hermanns
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Inferring Contextual User Profiles - Improving Recommender Performance
In this paper we present the concept of inferred contextual user profiles (CUPs) which extends the traditional user profile definition …
Alan Said, Ernesto W. De Luca, Sahin Albayrak
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Personalizing tags
Movie recommender systems attempt to find movies which are of interest for their users. However, as new movies are added, and new users …
Alan Said, Benjamin Kille, Ernesto W. De Luca, Sahin Albayrak
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