This position paper describes the role ontologies can play in Mobile Context-Aware recommender systems. In a Semantic Web vision of recommender systems, the adoption of ontologies for modeling the domain, the context and the adaptation process can contribute to tailor the right information/service to users and thus facilitate the user-system interaction and the system communication with other agents
International audienceCurrently, we are living in the era of ubiquitous environments, that introduce...
Item recommendations calculated by recommender systems mostly in use today, only rely on item conten...
Abstract. During the last decade, several recommendation systems have been proposed that help people...
In this paper we study the synergy between user behavior, context data, and semantic information in ...
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual...
This paper presents a semantics-based approach to Recommender Systems (RS), to exploit available con...
Traditional recommender systems as they are mostly used in today's recommendation applications (e.g....
Recommender systems are used to provide filtered information from a large amount of elements. They p...
In today’s mobile applications, it becomes more and more important to have a broader view on knowled...
In today's mobile applications, it becomes more and more important to have a broader view on knowled...
Abstract Currently, most recommendation systems do not consider the context in which they are execu...
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...
Context-aware recommender systems (CARS) generate more relevant recommendations by adapting them to...
International audienceCurrently, we are living in the era of ubiquitous environments, that introduce...
Item recommendations calculated by recommender systems mostly in use today, only rely on item conten...
Abstract. During the last decade, several recommendation systems have been proposed that help people...
In this paper we study the synergy between user behavior, context data, and semantic information in ...
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual...
This paper presents a semantics-based approach to Recommender Systems (RS), to exploit available con...
Traditional recommender systems as they are mostly used in today's recommendation applications (e.g....
Recommender systems are used to provide filtered information from a large amount of elements. They p...
In today’s mobile applications, it becomes more and more important to have a broader view on knowled...
In today's mobile applications, it becomes more and more important to have a broader view on knowled...
Abstract Currently, most recommendation systems do not consider the context in which they are execu...
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...
Context-aware recommender systems (CARS) generate more relevant recommendations by adapting them to...
International audienceCurrently, we are living in the era of ubiquitous environments, that introduce...
Item recommendations calculated by recommender systems mostly in use today, only rely on item conten...
Abstract. During the last decade, several recommendation systems have been proposed that help people...