Exploring Kdd2016 Paper 1085
Welcome to our comprehensive guide on Kdd2016 Paper 1085.
- Title: Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments Authors: Alexey ...
- Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...
- Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...
- Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ...
- Title: Robust Extreme Multi-label Learning Authors: Chang Xu*, Peking University Dacheng Tao, University of Technology Sydney ...
In-Depth Information on Kdd2016 Paper 1085
Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ... Title: Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Authors: Kai ... Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ... Title: Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Authors: Xiaolin Shi*, Yahoo!
Title: Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix Authors: Huizhi Xie*, Netflix Juliette ...
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