Introduction to Kdd2016 Paper 295
Let's dive into the details surrounding Kdd2016 Paper 295. Title: Contextual Intent Tracking for Personal Assistants Authors: Yu Sun*, University of Melbourne Nicholas Jing Yuan, Microsoft ...
Kdd2016 Paper 295 Comprehensive Overview
Title: Robust Extreme Multi-label Learning Authors: Chang Xu*, Peking University Dacheng Tao, University of Technology Sydney ... Title: Compute Job Memory Recommender System Using Machine Learning Authors: Taraneh Taghavi*, Qualcomm Inc. Maria ... Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...
Summary & Highlights for Kdd2016 Paper 295
- Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ...
- Title: Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences Authors: Yasuko Matsubara*, Kumamoto ...
- Title: Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Authors: Ying Shan*, Microsoft ...
- Title: Domain Adaptation in the Absence of Source Domain Data Authors: Boris Chidlovskii*, XRCE Stephane Clinchant, Xerox ...
- 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 295.