Paper-Conference

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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Using Social and Pseudo-Social Networks for Improved Recommendation Quality
Recommender systems attempt to find relevant data for their users. As the body of data available in the Web sphere becomes larger, this …
Alan Said
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Workshop on context-awareness in retrieval and recommendation
Context-aware information is widely available in various ways such as interaction patterns, location, devices, annotations, query …
Ernesto William De Luca, Alan Said, Matthias Böhmer, Florian Michahelles
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A Comparison of How Demographic Data Affects Recommendation
Recommender systems attempt to find relevant data for their users. As the amount of data available in the Web becomes larger, this task …
Alan Said, Till Plumbaum, Ernesto W. De Luca, Sahin Albayrak
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