KDD Industrial Papers

A list of recent indutrial papers in KDD, including research track and ads track. The papers are organized based on companies and sorted by time to see the recent papers first. Any suggestions and pull requests are welcome.

Bookmarks

• Alibaba
• Amazon
• Baidu
• Facebook
• Google
• Microsoft
• Tencent
• Airbnb

Alibaba

• Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application, Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu. KDD 2018.
• Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks, Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si. KDD 2018.
• Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba, Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee. KDD 2018.
• Visual Search at Alibaba, Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin. KDD 2018.
• Deep Reinforcement Learning for Sponsored Search Real-time Bidding, Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He. KDD 2018.
• Learning and Transferring IDs Representation in E-commerce, Kui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang. KDD 2018.
• Deep Interest Network for Click-Through Rate Prediction, Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai. KDD 2018.
• Learning Tree-based Deep Model for Recommender Systems, Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai. KDD 2018.
• Cascade Ranking for Operational E-commerce Search, Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si. KDD 2017.
• KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial, Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan Alan Qi. KDD 2017.
• A Hybrid Framework for Text Modeling with Convolutional RNN, Chenglong Wang, Feijun Jiang, Hongxia Yang. KDD 2017.
• Local Algorithm for User Action Prediction Towards Display Ads, Hongxia Yang, Yada Zhu, Jingrui He. KDD 2017.
• Optimized Cost per Click in Taobao Display Advertising, Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai. KDD 2017.

Amazon

• Buy It Again: Modeling Repeat Purchase Recommendations, Rahul Bhagat, Srevatsan Muralidharan, Alex Lobzhanidze, Shankar Vishwanath. KDD 2018.
• OpenTag: Open Attribute Value Extraction from Product Profiles, Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li. KDD 2018.

Baidu

• Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability, Yuecheng Rong, Zhimian Xu, Ruibo Yan, Xu Ma. KDD 2018.
• Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries, . KDD 2018.
• Prospecting the Career Development of Talents: A Survival Analysis Perspective, Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao. KDD 2017.
• Recruitment Market Trend Analysis with Sequential Latent Variable Models, Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie. KDD 2016.
• Days on Market: Measuring Liquidity in Real Estate Markets, Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu. KDD 2016.

Facebook

• Rosetta: Large Scale System for Text Detection and Recognition in Images, Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar. KDD 2018.
• A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase, Martin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen. KDD 2018.

Google

• Q&R: A Two-Stage Approach toward Interactive Recommendation, Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi. KDD 2018.
• Collaborative Deep Metric Learning for Video Understanding, Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol (Paul) Natsev. KDD 2018.
• Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email, Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork. KDD 2018.
• Scalable k-Means Clustering via Lightweight Coresets, Olivier Bachem, Mario Lucic, Andreas Krause. KDD 2018.
• Optimal Distributed Submodular Optimization via Sketching, MohammadHossein Bateni, Hossein Esfandiari, Vahab Mirrokni. KDD 2018.
• Sequences of Sets, Austin Benson, Ravi Kumar, Andrew Tomkins. KDD 2018.
• Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts, Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi. KDD 2018.

Microsoft

• Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas, Alex Deng, Ulf Knoblich, Jiannan Lu. KDD 2018.
• Web-Scale Responsive Visual Search at Bing, Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti. KDD 2018.
• BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data, Qingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang. KDD 2018.
• RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization, Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang. KDD 2018.
• Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors, Ying Shan, Jian Jiao, Jie Zhu, JC Mao. KDD 2018.
• Efficient Attribute Recommendation with Probabilistic Guarantee, Chi Wang, Kaushik Chakrabarti. KDD 2018.

Tencent

• MIX: Multi-Channel Information Crossing for Text Matching, Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu. KDD 2018.
• On the Generative Discovery of Structured Medical Knowledge, Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu. KDD 2018.
• An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery, Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, and Kui Ren. KDD 2018.

Airbnb

• Real-time Personalization using Embeddings for Search Ranking at Airbnb, Grbovic, Mihajlo, and Haibin Cheng. KDD 2018