Systems that recommend items to a group of two or more users raise a number of challenging issues that are so far only partly understood. This paper identifies four of these issue...
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
Our study on a community of knowledge management (KM) practitioners in the aerospace industry reveals challenges in the dissemination of KM concepts and tools. In this paper, we i...
Hiroko Wilensky, David F. Redmiles, Norman Makoto ...
—Since the foundation of AUTomotive Open System ARchitecture (AUTOSAR), the AUTOSAR Core Partners and more than 65 Premium and Development Members have been working on the standa...
Mobile recommender systems have the potential to substantially enrich tourist experiences. As their handling marks a big challenge for ordinary users, its acceptance can only be e...
Marko Modsching, Ronny Kramer, Klaus ten Hagen, Ul...