Context

Coherence and inconsistencies in rating behavior: estimating the magic barrier type: publication profile: false of recommender systems
Recommender Systems have to deal with a wide variety of users and user types that express their preferences in different ways. This …
Alan Said, A. Bellogín
Jan 1, 2018
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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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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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Context-awareness in recommender systems
CARS and CAMRa were organized under the Context-awareness in Recommendation Systems special event and gathered academic researchers as …
Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto W. De Luca, Alan Said
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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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Putting things in context
The Challenge on Context-Aware Movie Recommendation (CAMRa) was conducted as part of a join event on Context-Awareness in Recommender …
Alan Said, Shlomo Berkovsky, Ernesto W. De Luca
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