Context-Awareness

5th 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 …
Ernesto William De Luca, Alan Said, Fabio Crestani, David Elsweiler
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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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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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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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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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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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Exploiting hierarchical tags for context-awareness
Context-awareness for information retrieval is a challenging problem as information about the user’s current situation is rarely …
Alan Said, Jérôme Kunegis, Ernesto W. De Luca, Sahin Albayrak
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Identifying and utilizing contextual data in hybrid recommender systems
Context-aware recommender systems are becoming a popular topic, still, there are many untouched aspects. In this paper, research …
Alan Said
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