It recently came to my attention that I was waging a war across multiple fronts and fatigue had struck — they were winning. For months I had battled, fighting their persistence with my propensity to click x.
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.
Talk with Yves Raimond at the GPU Tech Conference on Marth 28, 2018 in San Jose, CA. Abstract: In this talk, we will survey how Deep Learning methods can be ap…
Award-winning data science platform for open technologies: Pig, Python, MongoDB and more. Easily run a custom recommender system, analyze logs, or do NLP.
D. Cosley, S. Lawrence, and D. Pennock. VLDB '2002: Proceedings of the 28th international conference on Very Large Data Bases, page 35--46. VLDB Endowment, (2002)
S. Mcnee, N. Kapoor, and J. Konstan. CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, page 171--180. New York, NY, USA, ACM Press, (2006)
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. EC '00: Proceedings of the 2nd ACM conference on Electronic commerce, page 158--167. New York, NY, USA, ACM Press, (2000)
S. Mcnee, N. Kapoor, and J. Konstan. CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, page 171--180. New York, NY, USA, ACM Press, (2006)