Accepted Papers

Selling Products by Machine: a User-Sensitive Adversarial Training method for Short Title Generation in Mobile E-Commerce Manyi Wang, Tao Zhang, Qijin Chen, Chengfu Huo and Weijun Ren

xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan and Liubo Li

FLEN: Leveraging Field for Scalable CTR Prediction Wenqiang Chen, Lizhang Zhan, Yuanlong Ci, Minghua Yang, Chen Lin and Dugang Liu

Ranking with Deep Multi-Objective Learning Xuezhi Cao, Sheng Zhu, Biao Tang, Rui Xie, Fuzheng Zhang and Zhongyuan Wang

Categorization of Social Actors in Social Network Analysis (SNA) using Representation Learning via Knowledge-Graph Embeddings and Convolution Operations (RLVECO) Bonaventure Molokwu, Shaon Bhatta Shuvo and Ziad Kobti

Autoencoder Anomaly Detection on Large CAN Bus Data Elena Novikova, Vu Le, Matvey Yutin, Michael Weber and Cory Anderson

Personalized Re-ranking for Improving Diversity in Live Recommender Systems Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang and Xiuqiang He

Distilled Bandit for Real-time Online Optimization Ziying Liu, Yu Sun, Jianjie Ma, Haiyan Luo, Yujing Wu and Elizabeth Lattanzio

Review Regularized Neural Collaborative Filtering Zhimeng Pan, Wenzheng Tao and Qingyao Ai

Training Deep Learning Recommendation Model with Quantized Collective Communications Jie Yang, Jongsoo Park, Srinivas Sridharan and Ping Tak Peter Tang

(Best Paper Runner-Up) DCAF: A Dynamic Computation Allocation Framework for Online Serving System Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu and Kun Gai

(Best Paper Award) COLD: Towards the Next Generation of Pre-Ranking System Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu and Kun Gai

Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction Zhiqiang Wang, Qingyun She, Pengtao Zhang and Junlin Zhang

PinText 2: Attentive Bag of Annotations Embedding Jinfeng Zhuang, Jennifer Zhao, Anant Subramanian, Yun Lin, Balaji Krishnapuram and Roelof Zwol

Anomaly detection for sparse data A framework based on PU-Learning and GAN’s Andrew Shields and Ted Scully

Automated Model Selection for Time-Series Anomaly Detection Yuanxiang Ying, Juanyong Duan, Chunlei Wang, Yujing Wang, Congrui Huang and Bixiong Xu

(Best Paper Runner-Up) Learning-To-Rank with Context-Aware Position Debiasing Keyi Xiao, Xuezhi Cao, Peihao Huang, Sheng Chen, Xiang Zhou, Yunsen Xian

PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks Ting-Wu Chin, Ari Morcos and Diana Marculescu