Recommandation multidimensionnelle d’émissions télévisées par apprentissage : Une interface de visualisation intelligente pour la télévision numérique
Due to the wealth of entertainment contents provided by Digital Mass Media and in particular by D... more Due to the wealth of entertainment contents provided by Digital Mass Media and in particular by Digital Television (satellite, cable, terrestrial or IP), choosing a program has become more and more difficult. Far from having a user-friendly environment, Digital Television (DTV) users face a huge choice of content, assisted only by off-putting interfaces named classical "Electronic Program Guide" EPG. That makes users' attention blurry and decreases their active program searching and choice. The central topic of this thesis is the development of a Recommendation System interfaced mapping interactive TV content. To do this, we chose to use a Recommendation System based on the content and have adapted to the field of television. This adaptation is carried out at several specific steps. We especially worked processing metadata associated with television content and developing an expert system can provide us with a unique categorization of television. We also took the initiative to model and integrate the context of use in our television viewing environment modeling. The integration of context allowed us to obtain a sufficiently fine and stable in this environment, allowing us to implementing our recommendation system. Detailed categorization of metadata associated with television content and modeling & integration of context of use television is the main contribution of this thesis. To assess / improve our developments, we installed a fleet of nine homes left in three specific types of families. This has given us the means to assess the contribution of our work in ease of use television in real conditions of use. By an implicit approach, we apprehended the behavior of television families (involved in our project) vis-a-vis television content. A syntactic-semantic analyzer has provided a measure of gradual interest thereon to the content, for each family. We have also developed an interactive mapping interface based on the idea of "Island of memory" for the interactive interface is in line with Recommendation System in place. Our recommendation system based on content and assisted learning (reinforcement learning), has provided us with the most optimal results to the scientific community in the field.
HAL (Le Centre pour la Communication Scientifique Directe), Jul 1, 2016
The main purpose of this paper is to design a data model for Electronic Health Records which main... more The main purpose of this paper is to design a data model for Electronic Health Records which main goal is to enable cooperation of various heterogeneous health information systems. We investigate the interest of the meta-ontologies proposed in [1] by instantiating it with real data. We tested the feasibility of our model on real anonymous medical data provided by the Médibase Systèmes company.
Studies in health technology and informatics, 2016
The main purpose of this paper is to design a data model for Electronic Health Records which main... more The main purpose of this paper is to design a data model for Electronic Health Records which main goal is to enable cooperation of various heterogeneous health information systems. We investigate the interest of the meta-ontologies proposed in [1] by instantiating it with real data. We tested the feasibility of our model on real anonymous medical data provided by the Médibase Systèmes company.
Représentation d’un espace de valeurs d’usage pour guider la conception
Page 1. Représentation d'un espace de valeurs d'usage pour guider la conception Stéphanie... more Page 1. Représentation d'un espace de valeurs d'usage pour guider la conception Stéphanie Buisine1, Laurine Eveque1,2, Karan Fouladi3, Julie Marlier4 et William Turner2 1 Arts et Metiers ParisTech, LCPI, 151 bd de l'Hôpital ...
Cet article rend compte d'une collaboration entre trois laboratoires de recherche publique et une... more Cet article rend compte d'une collaboration entre trois laboratoires de recherche publique et une Petite et Moyenne Entreprise, fabriquant de terminaux pour la télévision numérique 1 , appelée dans cet article l'entreprise « High Tech ». Positionnée sur un marché qui a connu un effondrement des prix avec l'arrivée des constructeurs Asiatiques, majoritairement Chinois, « High Tech » a voulu explorer des solutions innovantes pour restaurer ses marges. Des procédures ont été adoptées en vue de faire émerger ces solutions à travers un processus de co-conception de produits et d'usages. En présentant ces procédures, notre objectif est de contribuer à l'approfondissement d'une problématique socio-informatique, celle visant à assister informatiquement la conception des objets à intelligence incorporée (OII). Nous montrerons qu'une stratégie de conception des OII dépend de la coopération entre informaticiens, ergonomes, sociologues et usagers et que le rôle de l'assistance informatique est d'aider à organiser cette coopération.
With the development of information technologies and more precisely, the so-called digital conver... more With the development of information technologies and more precisely, the so-called digital convergence, the number of digital TV (DTV) programs available on any kind of DTV receiver (satellite, cable, terrestrial or IP) has increased dramatically. This has made the task of selecting a DTV program very complicated and time consuming. This paper proposes an intelligent graphical user interface (GUI) tool that gives a new appearance to the on-air and recorded DTV contents in order to enable DTV viewers to, quickly and in a user-friendly manner, select a program. The GUI tool is based on a synthetic cartography of DTV programs in which the shape generated reflects the DTV viewers’ preferences over a period of time. These preferences are obtained by using any method for program clustering and recommendation. Results are demonstrated on the task of recommending programs in the context of the French terrestrial DTV by using a content-based approach.
With the development of information technologies and more precisely, the so-called digital conver... more With the development of information technologies and more precisely, the so-called digital convergence, the number of digital TV (DTV) programs available on any kind of DTV receiver (satellite, cable, terrestrial or IP) has increased dramatically. This has made the task of selecting a DTV program very complicated and time consuming. This paper proposes an intelligent graphical user interface (GUI) tool that gives a new appearance to the on-air and recorded DTV contents in order to enable DTV viewers to, quickly and in a user-friendly manner, select a program. The GUI tool is based on a synthetic cartography of DTV programs in which the shape generated reflects the DTV viewers' preferences over a period of time. These preferences are obtained by using any method for program clustering and recommendation. Results are demonstrated on the task of recommending programs in the context of the French terrestrial DTV by using a content-based approach.
Recommandation multidimensionnelle d’émissions télévisées par apprentissage : Une interface de visualisation intelligente pour la télévision numérique
Due to the wealth of entertainment contents provided by Digital Mass Media and in particular by D... more Due to the wealth of entertainment contents provided by Digital Mass Media and in particular by Digital Television (satellite, cable, terrestrial or IP), choosing a program has become more and more difficult. Far from having a user-friendly environment, Digital Television (DTV) users face a huge choice of content, assisted only by off-putting interfaces named classical "Electronic Program Guide" EPG. That makes users' attention blurry and decreases their active program searching and choice. The central topic of this thesis is the development of a Recommendation System interfaced mapping interactive TV content. To do this, we chose to use a Recommendation System based on the content and have adapted to the field of television. This adaptation is carried out at several specific steps. We especially worked processing metadata associated with television content and developing an expert system can provide us with a unique categorization of television. We also took the initi...
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Papers by Karan Fouladi