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PreviewIssue DateTitleAuthor(s)
20-Dec-2013Wallenius Naive BayesJunque de Fortuny, Enric; Martens, David; Provost, Foster
8-Oct-2013Probabilistic Neighborhood Selection in Collaborative Filtering SystemsAdamopoulos, Panagiotis; Tuzhilin, Alexander
19-Jun-2013Machine learning for targeted display advertising: Transfer learning in actionDalessandro, B; Provost, F; Raeder, T; Perlich, C; Stitelman, O
19-Jun-2013Estimating Audience Interest Distribution based on Audience Web BehaviorZhang, Xiaohan; Kiril, Tsemekhman; Provost, Foster
19-Jun-2013A Framework for Quality Assurance in CrowdsourcingWang, Jing; Ipeirotis, Panagiotis
19-Jun-2013Explaining Data-Driven Document ClassificationsMartens, David; Provost, Foster
19-Jun-2013On Unexpectedness in Recommender Systems: Or How to Better Expect the UnexpectedAdamopoulos, Panagiotis; Tuzhilin, Alexander
18-Oct-2012Evaluating and Optimizing Online Advertising: Forget the click, but there are good proxiesDalessandro, Brian; Hook, Rod; Perlich, Claudia; Provost, Foster
18-Oct-2012Comparing Context-Aware Recommender Systems in Terms of Accuracy and Diversity: Which Contextual Modeling, Pre-filtering and Post-Filtering Methods Perform the BestPanniello, Umberto; Tuzhilin, Alexander; Gorgoglione, Michele
16-Oct-2012Data Science and PredictionDhar, Vasant
Showing results 1 to 10 of 10


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