Effective management of large amounts of information has become a challenge increasinglyimportant for information systems. Everyday, new information sources emerge on the web. Someonecan easily find what he wants if (s)he seeks an article, a video or a specific artist. However,it becomes quite difficult, even impossible, to have an exploratory approach to discover newcontent. Recommender systems are software tools that aim to assist humans to deal withinformation overload. The work presented in this Phd thesis proposes an architecture for efficientrecommendation of news. In this document, we propose an architecture for efficient recommendationof news articles. Our ontological approach relies on a model for precise characterization of itemsb...
Article dans Les Techniques de l'IngénieurNational audienceThis paper presents the basic principles ...
Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper conce...
International audienceThis paper is interested in a recommender system of economic news articles. Mo...
Effective management of large amounts of information has become a challenge increasinglyimportant fo...
La gestion efficace de grandes quantités d’informations est devenue un défi de plus en plus importan...
International audienceToday in the commercial and financial sectors, staying informed about economic...
International audienceDecision makers need economical information to drive their decisions. The Comp...
International audienceThe relevance of information is in the center of problems of access to informa...
Recommender Systems aim at automatically providing objects related to user’s interests. These tools ...
Il peut s'avérer ardu, même pour une organisation de petite taille, de se retrouver parmi des centai...
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses...
Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper conce...
Ce travail de thèse rentre dans le cadre de l'utilisation des ontologies dans le processus de recher...
L'indexation de documents audiovisuels est une tâche difficile mais nécessaire si l'on veut recherch...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-70987-9_34Pro...
Article dans Les Techniques de l'IngénieurNational audienceThis paper presents the basic principles ...
Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper conce...
International audienceThis paper is interested in a recommender system of economic news articles. Mo...
Effective management of large amounts of information has become a challenge increasinglyimportant fo...
La gestion efficace de grandes quantités d’informations est devenue un défi de plus en plus importan...
International audienceToday in the commercial and financial sectors, staying informed about economic...
International audienceDecision makers need economical information to drive their decisions. The Comp...
International audienceThe relevance of information is in the center of problems of access to informa...
Recommender Systems aim at automatically providing objects related to user’s interests. These tools ...
Il peut s'avérer ardu, même pour une organisation de petite taille, de se retrouver parmi des centai...
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses...
Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper conce...
Ce travail de thèse rentre dans le cadre de l'utilisation des ontologies dans le processus de recher...
L'indexation de documents audiovisuels est une tâche difficile mais nécessaire si l'on veut recherch...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-70987-9_34Pro...
Article dans Les Techniques de l'IngénieurNational audienceThis paper presents the basic principles ...
Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper conce...
International audienceThis paper is interested in a recommender system of economic news articles. Mo...