| Title | Authors |
| Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators | Yuechun Gu, Da Yan, Sibo Yan and Zhe Jiang |
| AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce | Fenglin Li |
| Query-aware Tip Generation for Vertical Search | Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang and Zhongyuan Wang |
| Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network | Haotian Li, Huan Wei, Yong Wang, Yangqiu Song and Huamin Qu |
| EdgeRec: Recommender System on Edge in Mobile Taobao | Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu and Wenwu Ou |
| MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction | Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu and Wenwu Ou |
| Magellan: A Personalized Travel Recommendation System Using Transaction Data | Konik Kothari, Dhruv Gelda, Wei Zhang and Hao Yang |
| Deep Behavior Tracing with Multi-level Temporality Preserved Embedding | Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu and Liang Chen |
| Impression Pacing for Jobs Marketplace at LinkedIn | Sahin Geyik, Luthfur Chowdhury, Florian Raudies, Wen Pu and Jianqiang Shen |
| Elevated Road Network: a Metric Learning Method for Recognizing Whether a Vehicle is on an Elevated Road | Xiaobing Zhang, Hailiang Xu, Jian Yang, Jia Sun, Fan Chen and Leiyun Li |
| P-Companion: A Principled Framework for Diversified Complementary Product Recommendation | Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun and Wei Wang |
| Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns | Adir Solomon, Amit Magen, Simo Hanuna, Mor Kertis, Bracha Shapira and Lior Rokach |
| Learning Effective Representations for Person-Job Fit by Feature Fusion | Junshu Jiang, Songyun Ye, Wei Wang, Jingran Xu and Xiaosheng Luo |
| Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation | Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen and Peng Cui |
| Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning | Chenxiao Xu, Hao Huang, Shinjae Yoo, Weizhong Yan, Tianyi Wang and Feng Xue |
| Expert-in-the-loop AI for Polymer Discovery | Petar Ristoski, Dmitry Zubarev, Anna Lisa Gentile, Nathaniel Park, Daniel Sanders, Daniel Gruhl, Linda Kato and Steve Welch |
| Personalized Bundle Recommendation in Online Games | Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan and Liang Chen |
| Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement | Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani and Wei Wang |
| Efficient Neural Query Auto Completion | Sida Wang, Weiwei Guo, Huiji Gao and Bo Long |
| TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval | Wenhao Lu, Jian Jiao and Ruofei Zhang |
| Masked-field Pre-training for User Intent Prediction | Peng Wang, Jiang Xu, Chunyi Liu, Hao Feng, Zang Li and Jieping Ye |
| Learning to Infer User Hidden States for Online Sequential Advertising | Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu and Kun Gai |
| Loan Default Analysis with Multiplex Graph Learning | Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu and Yuan Qi |
| Personalized Flight Itinerary Ranking at Fliggy | Jinhong Huang, Yang Li, Shan Sun, Bufeng Zhang and Jin Huang |
| Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval | Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John Anderson, Sarvjeet Singh, Tushar Chandra, Ed Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal and Pei Cao |
| MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction | Wentao Ouyang, Xiuwu Zhang, Lei Zhao, Jinmei Luo, Yu Zhang, Heng Zou, Zhaojie Liu and Yanlong Du |
| AutoADR: Automatic Model Design for Ad Relevance | Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai and Ruofei Zhang |
| Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study | Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut and Evgeny Kharlamov |
| Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space | Pengcheng Li, Runze Li, Qing Da, An-Xiang Zeng and Lijun Zhang |
| BotSpot:A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising | Tianjun Yao, Qing Li, Shangsong Liang and Yadong Zhu |
| Who is Delivering My Food? Detecting Food Delivery Abusers using Variational Reward Inference Networks | Daeyoung Yoon and Simon Woo |
| Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection | Liangwei Li, Liucheng Sun, Chenwei Weng, Chengfu Huo and Weijun Ren |
| Two-Stage Audience Expansion for Financial Targeting in Marketing | Zhining Liu, Xiaofan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu and Guannan Zhang |
| aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots | Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Jun Zhou, Xiaolong Li and Yu Qiao |
| Category-aware Graph Neural Networks for Improving E-Commerce Review Helpfulness Prediction | Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang and Jun Gao |
| Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation | Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang and Leyu Lin |
| You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users | Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng and Tianrui Li |
| Learning to Profile: User Meta-Profile Network for Few-Shot Learning | Hao Gong, Qifang Zhao, Tianyu Li, Derek Cho and Duykhuong Nguyen |
| Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-through Rate Prediction | Qi Pi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan and Kun Gai |
| Learning to Rank in the Position Based Model with Bandit Feedback | Beyza Ermis, Patrick Ernst, Yannik Stein and Giovanni Zappella |
| Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items | Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao and Weipeng Yan |
| A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction | Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu and Kun Gai |
| Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems | Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu and Dawei Yin |
| Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner | Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song and Kenneth Loparo |
| Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation | Suhrid Satyal, Nick Fletcher and Shameek Ghosh |
| Learning to Build User-tag Profile in Recommendation System | Su Yan, Xin Chen, Ran Huo, Xu Zhang and Leyu Lin |
| Relevance Ranking for Realtime Tweet Search | Yan Xia, Yu Sun, Tian Wang, Juan Manuel Caicedo Carvajal, Jinliang Fan, Bhargav Mangipudi, Lisa Huang and Yatharth Saraf |
| ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Postives of Satellite Systems | Youjin Shin, Sangyup Lee, Shahroz Tariq, Myeong Shin Lee, Okchul Jung, Daewon Chung and Simon Woo |
| GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems | Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang and Mark Coates |
| Efficiently Training Intelligible Models for Global Explanations | Yin Lou, Yongliang Wang, Shiwei Liang and Yang Dong |
| Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents | Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Siqiang Luo, Weining Qian and Aoying Zhou |
| Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion | Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan and Yanghua Li |
| U-rank: Utility-oriented Learning to Rank with Implicit Feedback | Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang and Yong Yu |
| Ensembled CTR Prediction via Knowledge Distillation | Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen and Zibin Zheng |
| ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry? | Hyokmin Kwon, Jaeho Han and Kyungsik Han |
| Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach | Nan Xiao, Nan Hu, Liang Yu and Cheng Long |
| The Utility of Context When Extracting Entities From Legal Documents | Jonathan Donnelly and Adam Roegiest |
| Ranking User Attributes for Fast Candidate Selection in Recommendation Systems | Huichao Xue |
| DeText: A Deep Text Ranking Framework at LinkedIn | Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen and Deepak Agarwal |
| AGATHA: Automatic Graph mining And Transformer based Hypothesis generation Approach | Justin Sybrandt, Ilya Tyagin, Michael Shtutman and Ilya Safro |
| Fine-Tuned Compressed Representations of Vessel Trajectories | Giannis Fikioris, Kostas Patroumpas, Alexander Artikis, Georgios Paliouras and Manolis Pitsikalis |
| An extensive investigation on Machine Learning techniques for apnea screening | Jose Fernando Rodrigues Jr., Jean-Louis Pepin, Lorraine Goeuriot and Sihem Amer-Yahia |
| Incorporating User Feedback into Sequence to Sequence Model Training | Michaeel Kazi, Weiwei Guo, Huiji Gao and Bo Long |
| Intent-Driven Similarity in E-Commerce Listings | Gilad Fuchs, Yoni Acriche, Idan Hasson and Pavel Petrov |
| Bid Shading in The Brave New World of First-Price Auctions | Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan and Aaron Flores |
| Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model | Djordje Gligorijevic, Jelena Gligorijevic and Aaron Flores |
| Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback | Fabian Moerchen, Patrick Ernst and Giovanni Zappella |
| Detection of Novel Social Bots by Ensembles of Specialized Classifiers | Mohsen Sayyadiharikandeh, Onur Varol, Kaicheng Yang, Alessandro Flammini and Filippo Menczer |
| Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture | Haoyu Dong, Jiong Yang, Shi Han and Dongmei Zhang |
| Helix: DGA Domain Embeddings for Tracking and Exploring Botnets | Lior Sidi, Yisroel Mirsky, Asaf Nadler, Yuval Elovici and Asaf Shabtai |
| FairScale: A Scalable Framework for Measuring Fairness in AI Applications | Sriram Vasudevan and Krishnaram Kenthapadi |
| A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers’ Behavioral Prediction | Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie and Hongtu Zhu |
| Query Understanding for Surfacing Underserved Music Content | Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão and Mounia Lalmas-Roelleke |
