This is an electronic version of the paper presented at the Workshop on Context-Aware Recommender Systems (CARS 2009) at the ACM Conference on Recommender Systems (RecSys 2009), held in New York on 2009The elements that can be considered under the notion of context in a recommender system are manifold: user tasks/goals, recently browsed/rated items, computing platforms and network conditions, social environment, physical environment and location, time, external events, etc. Complementarily to these elements, we propose a particular notion of context for semantic content retrieval: that of semantic runtime context, which we define as the background topics under which activities of a user occur within a given unit of time. A runtime c...
Abstract. During the last decade, several recommendation systems have been proposed that help people...
For classical domains, such as movies, recommender systems have proven their usefulness. But recomme...
Context-aware Recommender Systems aim to provide users with the most adequate recommendations for th...
The elements that can be considered under the notion of context in a recommender system are manifold...
The elements that can be considered under the notion of context in a recommender system are manifold...
In our work, we have presented two widely used recommendation systems. We have presented a context-a...
In our work, we have presented two widely used recommendation systems. We have presented a context-a...
In our work, we have presented two widely used recommendation systems. We have presented a context-a...
Traditional recommender systems provide personal suggestions based on the user’s preferences, withou...
Traditional recommender systems provide personal suggestions based on the user’s preferences, withou...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
For classical domains, such as movies, recommender systems have proven their usefulness. But recomme...
Abstract. During the last decade, several recommendation systems have been proposed that help people...
For classical domains, such as movies, recommender systems have proven their usefulness. But recomme...
Context-aware Recommender Systems aim to provide users with the most adequate recommendations for th...
The elements that can be considered under the notion of context in a recommender system are manifold...
The elements that can be considered under the notion of context in a recommender system are manifold...
In our work, we have presented two widely used recommendation systems. We have presented a context-a...
In our work, we have presented two widely used recommendation systems. We have presented a context-a...
In our work, we have presented two widely used recommendation systems. We have presented a context-a...
Traditional recommender systems provide personal suggestions based on the user’s preferences, withou...
Traditional recommender systems provide personal suggestions based on the user’s preferences, withou...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
Investigations into combining context and recommendation has resulted in much fruitful research whic...
For classical domains, such as movies, recommender systems have proven their usefulness. But recomme...
Abstract. During the last decade, several recommendation systems have been proposed that help people...
For classical domains, such as movies, recommender systems have proven their usefulness. But recomme...
Context-aware Recommender Systems aim to provide users with the most adequate recommendations for th...
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