A new ontology-supported and hybrid recommending information system for scholars was proposed. Not only can it fast integrate specific domain documents, but also it can extract imp...
Customer reviews and recommendations for products are provided by almost all e-business platforms, supporting consumers when shopping on the web. Mobile and ubiquitous computing p...
Felix von Reischach, Florian Michahelles, Albrecht...
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...
Abstract: Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively litt...
Swapneel Sheth, Nipun Arora, Christian Murphy, Gai...
Abstract Previously, we have proposed two recommendation systems, the Context-aware Information Filtering (C-IF) and Context-aware Collaborative Filtering (C-CF), both of which ar...
Kenta Oku, Shinsuke Nakajima, Jun Miyazaki, Shunsu...