Exploring Kdd2016 Paper 945
Let's dive into the details surrounding Kdd2016 Paper 945.
- Title: Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams Authors: Hesam ...
- Title: Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Authors: Ying Shan*, Microsoft ...
- Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
- Title: Compute Job Memory Recommender System Using Machine Learning Authors: Taraneh Taghavi*, Qualcomm Inc. Maria ...
- Title: Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability Authors: Lingfei Wu*, College of William ...
In-Depth Information on Kdd2016 Paper 945
Title: Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix Authors: Huizhi Xie*, Netflix Juliette ... Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ... Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ... Title: Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations Authors: Wei Cheng*, NEC ...
Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ...
That wraps up our extensive overview of Kdd2016 Paper 945.
