In this thesis, a content recommendation system has been developed. The system makes recommendations based on the preferences of the users on some aspects of the content and also preferences of similar users. The preferences of a user are extracted from the choices of that user made in the past. Similarities between users are defined by the similarities of their preferences. Such a system requires both qualified content and user information. The proposed system uses semantic user and content profiles to more effectively define the relationships between the two and make better inferences. An ontology is defined using the existing domain ontologies and the semi-structured data on the web. The system is implemented mainly for the movie domain ...
The lack of quality of education in Peruvian schools has caused young people to look for other ways...
Knowledge sharing is vital in collaborative work environments.People working in the same environment...
Web users are nowadays confronted with the huge variety of available information sources whose conte...
The task of the recommendation systems is to recommend items that are relevant to the preferences of...
Personalization and recommendation systems are a solution to the problem of content overload, especi...
In coping with the increasing on-demand movies services provided through the Internet or Cloud platf...
In this paper, a new framework for recommendation of multimedia objects in the envi-ronment of the m...
Social media and the development of web 2.0 encourage the user to participate more interactively in ...
Öneri sistemleri son yıllarda giderek artan ilgiye sahip bir araştırma alanıdır. Öneri sistemleri ku...
International audienceThis paper provides a service-oriented such solution which explore the ontolog...
International audienceThis paper is interested in a recommender system of economic news articles. Mo...
Abstract: Problem statement: Every web user has different intent when accessing the information on w...
Recommendation based systems can be used for recommending different web page, books, restaurants, tv...
Abstract. This chapter discusses content-based recommendation systems, i.e., systems that recommend ...
One of the primary issues of many websites is the suggestion of multiple choices to the users at the...
The lack of quality of education in Peruvian schools has caused young people to look for other ways...
Knowledge sharing is vital in collaborative work environments.People working in the same environment...
Web users are nowadays confronted with the huge variety of available information sources whose conte...
The task of the recommendation systems is to recommend items that are relevant to the preferences of...
Personalization and recommendation systems are a solution to the problem of content overload, especi...
In coping with the increasing on-demand movies services provided through the Internet or Cloud platf...
In this paper, a new framework for recommendation of multimedia objects in the envi-ronment of the m...
Social media and the development of web 2.0 encourage the user to participate more interactively in ...
Öneri sistemleri son yıllarda giderek artan ilgiye sahip bir araştırma alanıdır. Öneri sistemleri ku...
International audienceThis paper provides a service-oriented such solution which explore the ontolog...
International audienceThis paper is interested in a recommender system of economic news articles. Mo...
Abstract: Problem statement: Every web user has different intent when accessing the information on w...
Recommendation based systems can be used for recommending different web page, books, restaurants, tv...
Abstract. This chapter discusses content-based recommendation systems, i.e., systems that recommend ...
One of the primary issues of many websites is the suggestion of multiple choices to the users at the...
The lack of quality of education in Peruvian schools has caused young people to look for other ways...
Knowledge sharing is vital in collaborative work environments.People working in the same environment...
Web users are nowadays confronted with the huge variety of available information sources whose conte...