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.
J. Zhu, M. Ma, J. Guo, and Z. Wang. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 21 (2):
375-395(March 2007)International Workshop on Web Personalization, Recommender Systems and
Intelligent User Interfaces, Reading, ENGLAND, OCT, 2005.