In this paper we consider the problem of quantitatively assessing context relevance. For this purpose we are assuming that users can imagine a situation ...
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The main contribution of this paper is a methodology for the quantitative assessment of the dependency of user pref- erences from a set of contextual dimensions ...
Feb 16, 2011 · The experimental results show that it is possible to identify the contextual factors that are relevant for the given task and that the relevancy ...
The experimental results show that it is possible to identify the contextual factors that are relevant for the given task and that the relevancy depends on ...
Jun 21, 2011 · In this paper, we take a new approach for assessing and modeling the relationship between contextual factors and item ratings.
Dec 31, 2010 · In this paper we consider the problem of quantitatively assessing context relevance. For this purpose we are assuming that users can imagine a situation ...
(PDF) Context relevance assessment for recommender systems
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Context aware recommender systems (CARS) adapt the recommendations to the specific situation in which the items will be consumed. In this paper we present a ...
In this paper we consider the problem of quantitatively assessing context relevance. For this purpose we are assuming that users can imagine a situation ...
This paper presents a review on the continual development of context-aware recommender systems by analyzing different kinds of contexts without limiting to any ...
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Context relevance assessment and exploitation in mobile recommender systems. ... In order to generate relevant recommendations, a context-aware recommender system ...