Introduction to Kdd2016 Paper 683
Let's dive into the details surrounding Kdd2016 Paper 683. Title: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Authors: Prithu Banerjee*, UBC Pranali ...
Kdd2016 Paper 683 Comprehensive Overview
Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ... Title: Audience Expansion for Online Social Network Advertising Authors: Haishan Liu*, LinkedIn Corporation David Pardoe, ... Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...
Title: When Social Influence Meets Item Inference Authors: Hui-Ju Hung*, The Pennsylvania State University Hong-Han Shuai, ...
Summary & Highlights for Kdd2016 Paper 683
- Title: Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Authors: Xiaolin Shi*, Yahoo!
- Title: Structural Neighborhood Based Classification of Nodes in a Network Authors: Sharad Nandanwar*, Indian Institute of ...
- Title: Multi-layer Representation Learning for Medical Concepts Authors: Edward Choi*, Georgia Institute of Technology ...
- Title: Latent Space Model for Road Networks to Predict Time-Varying Traffic Authors: Dingxiong Deng, University of Southern ...
- Title: Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Authors: Kai ...
That wraps up our extensive overview of Kdd2016 Paper 683.