Award-winning data science platform for open technologies: Pig, Python, MongoDB and more. Easily run a custom recommender system, analyze logs, or do NLP.
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction.
R. Woerndl. Enabling Technologies: Infrastructure for Collaborative Enterprises, 2007. WETICE 2007. 16th IEEE International Workshops on, (18-20 June 2007)
P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, und J. Riedl. CSCW '94: Proceedings of the 1994 ACM conference on Computer supported cooperative work, Seite 175--186. New York, NY, USA, ACM Press, (1994)
U. Shardanand, und P. Maes. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Seite 210--217. New York, NY, USA, ACM Press/Addison-Wesley Publishing Co., (1995)
W. Hill, L. Stead, M. Rosenstein, und G. Furnas. CHI '95: Proceedings of the SIGCHI conference on Human factors in computing systems, Seite 194--201. New York, NY, USA, ACM Press/Addison-Wesley Publishing Co., (1995)
W. Hill, L. Stead, M. Rosenstein, und G. Furnas. Proceedings of the SIGCHI conference on Human factors in computing systems, Seite 194--201. New York, NY, USA, ACM Press/Addison-Wesley Publishing Co., (1995)
W. Hill, L. Stead, M. Rosenstein, und G. Furnas. Proceedings of the SIGCHI conference on Human factors in computing systems, Seite 194--201. New York, NY, USA, ACM Press/Addison-Wesley Publishing Co., (1995)