- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
We propose a collaborative exploration system that helps users to explore recommendations from various viewpoints. Given ratings and reviews on movies from reviewers, the system p...
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
To reduce the ambiguity and the different semantic interpretation of human observers’ reports, we propose a new paradigm in collaborating information using icons to represent co...
Large software projects often require a programmer to make changes to unfamiliar source code. This paper presents the results of a formative observational study of seven professio...
Robert DeLine, Amir Khella, Mary Czerwinski, Georg...