Add to ORKGThe ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for rec-ommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theo-retical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illu...
In this thesis we report the results of our research on recommender systems, which addresses some of...
Recommender systems have become an important research area since the emergence of the first research...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems...
The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Promoting recommender systems in real-world applications requires deep investigations with emphasis ...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
Background. In this article, we look at the key advances in collaborative filtering recommender syst...
The origins of modern recommender systems date back to the early 1990s when they were mainly applied...
The amount of scientific and technical information is growing exponentially. As a result, the scient...
Recommender systems have become an important research field since the emergence of the first paper o...
ABSTRACT One of the most crucial issues, nowadays, is to provide personalized services to each indi...
AbstractIn this era of web, we have a huge amount of information overload over internet. To extract ...
AbstractTo recommend products to users according to their interests, research on recommended systems...
In this thesis we report the results of our research on recommender systems, which addresses some of...
Recommender systems have become an important research area since the emergence of the first research...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems...
The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Promoting recommender systems in real-world applications requires deep investigations with emphasis ...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
Background. In this article, we look at the key advances in collaborative filtering recommender syst...
The origins of modern recommender systems date back to the early 1990s when they were mainly applied...
The amount of scientific and technical information is growing exponentially. As a result, the scient...
Recommender systems have become an important research field since the emergence of the first paper o...
ABSTRACT One of the most crucial issues, nowadays, is to provide personalized services to each indi...
AbstractIn this era of web, we have a huge amount of information overload over internet. To extract ...
AbstractTo recommend products to users according to their interests, research on recommended systems...
In this thesis we report the results of our research on recommender systems, which addresses some of...
Recommender systems have become an important research area since the emergence of the first research...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems...