mendation service which can be called via HTTP by BibSonomy's recommender when a user posts a bookmark or publication. All participating recommenders are called on each posting process, one of them is choosen to actually deliver the results to the user. We can then measure
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.
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F. Abel, N. Henze, and D. Krause. 2008 IEEE / WIC / ACM International Conference on Web Intelligence,
WI 2008, 9-12 December 2008, Sydney, NSW, Australia, Main
Conference Proceedings, page 148-154. IEEE, (2008)
P. Adamopoulos, and A. Tuzhilin. DiveRS 2011 – ACM RecSys 2011 Workshop on Novelty and Diversity in Recommender Systems, New York, NY, USA, ACM, (October 2011)