Workshop on recommender systems: algorithms and evaluation

The state of the art in recommender systems will be enhanced by the development of evaluation methodologies for recommender systems. User studies are difficult to conduct and generalize from, and issues of presentation and relevance make traditional IR evaluation measures not entirely suited to the domain. Furthermore, test collections such as DEC SRC's EachMovie data set are becoming standard tools, but the need for larger collections in different domains is great.