Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
This article describes a study of distance collaborative activities that have been conducted in a cross-national setting between a Greek and a German university. We discuss issues ...
Andreas Harrer, Georgios Kahrimanis, Sam Zeini, La...
This paper proposes a new type of database for collaborative work. Known types of databases for collaborative work are databases of shared data and those of process data. A new typ...
Our recent work is devoted to the development of an agent-based travel support system in which personalized information is delivered to the user. Thus far we have focused our atte...
Mateusz Kruszyk, Maria Ganzha, Maciej Gawinecki, M...
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...