Add to ORKGIn this paper, a new framework for recommendation of multimedia objects in the envi-ronment of the multimedia sharing system was proposed. It uses two kinds of individual ontologies one is created for multimedia objects and the second one for system users. The final recommendation process takes into account similarities calculated both between ob-jects ’ and users ’ ontologies. These individual ontologies respect all the social and seman-tic features existing in the system. The entire recommender framework was developed for the use in Flickr, a typical photo sharing system
Social media and the development of web 2.0 encourage the user to participate more interactively in ...
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual...
In coping with the increasing on-demand movies services provided through the Internet or Cloud platf...
Recommender systems help people in retrieving information that match their preferences by recommendi...
International audienceThis paper provides a service-oriented such solution which explore the ontolog...
In this thesis, a content recommendation system has been developed. The system makes recommendations...
In this paper, we present a new vision of multimedia recommender systems based on an a novel paradig...
One of the most important challenge in the information access field is information overload. To cope...
Abstract—One of the most important challenge in the infor-mation access field is information overloa...
One of the most important challenges in the information access field, especially for multimedia repo...
Knowledge sharing is vital in collaborative work environments.People working in the same environment...
In digital ecosystems, the possibility of discovering useful digital objects based on recommendation...
The extraordinary technological progress we have witnessed in recent years has made it possible to g...
International audienceIn this paper we provide a solution for recommending multimedia materials insi...
Social media and the development of web 2.0 encourage the user to participate more interactively in ...
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual...
In coping with the increasing on-demand movies services provided through the Internet or Cloud platf...
Recommender systems help people in retrieving information that match their preferences by recommendi...
International audienceThis paper provides a service-oriented such solution which explore the ontolog...
In this thesis, a content recommendation system has been developed. The system makes recommendations...
In this paper, we present a new vision of multimedia recommender systems based on an a novel paradig...
One of the most important challenge in the information access field is information overload. To cope...
Abstract—One of the most important challenge in the infor-mation access field is information overloa...
One of the most important challenges in the information access field, especially for multimedia repo...
Knowledge sharing is vital in collaborative work environments.People working in the same environment...
In digital ecosystems, the possibility of discovering useful digital objects based on recommendation...
The extraordinary technological progress we have witnessed in recent years has made it possible to g...
International audienceIn this paper we provide a solution for recommending multimedia materials insi...
Social media and the development of web 2.0 encourage the user to participate more interactively in ...
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual...
In coping with the increasing on-demand movies services provided through the Internet or Cloud platf...