Title
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems Xiong-Hui Chen Bowei He Yangze Yu Qingyang Li Zhiwei Qin Wenjie Shang Jieping Ye Chen-li Ma OffRL 18 11 0 03 May 2023
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction Chengkai Zhu Liang Du Hong Chen Shuang Zhao Zixun Sun Xin Eric Wang Wenwu Zhu 13 1 0 03 May 2023
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models Daochen Zha Louis Feng Liangchen Luo Bhargav Bhushanam Zirui Liu ... J. McMahon Yuzhen Huang Bryan Clarke A. Kejariwal Xia Hu 50 7 0 03 May 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? Yushun Dong Jundong Li Tobias Schnabel 38 9 0 02 May 2023
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures E. Georganas Dhiraj D. Kalamkar K. Voronin Abhisek Kundu Antonio Noack Hans Pabst Alexander Breuer A. Heinecke 11 2 0 25 Apr 2023
COUPA: An Industrial Recommender System for Online to Offline Service Platforms Sicong Xie Binbin Hu Feng Li Ziqi Liu Zhiqiang Zhang Wenliang Zhong Jun Zhou 11 0 0 25 Apr 2023
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning Weifan Wang Binbin Hu Zhicheng Peng Mingjie Zhong Zhiqiang Zhang Zhongyi Liu Guannan Zhang Jun Zhou 11 3 0 25 Apr 2023
LogicRec: Recommendation with Users' Logical Requirements Zhenwei Tang Griffin Floto Armin Toroghi Shichao Pei Xiangliang Zhang Scott Sanner 28 3 0 23 Apr 2023
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model Yuanshao Zhu Yongchao Ye Shiyao Zhang Xiangyu Zhao James J. Q. Yu 30 41 0 23 Apr 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 21 47 0 17 Apr 2023
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction Congcong Liu Fei Teng Xiwei Zhao Zhangang Lin Jinghe Hu Jingping Shao CLL 8 6 0 17 Apr 2023
FairRec: Fairness Testing for Deep Recommender Systems Hui Guo Jinfeng Li Jingyi Wang Xiangyu Liu Dongxia Wang Zehong Hu Rong Zhang Hui Xue 27 7 0 14 Apr 2023
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings Wenyang Liu Yi Wang Kejun Wu Kim-Hui Yap Lap-Pui Chau 13 4 0 14 Apr 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 17 3 0 09 Apr 2023
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search Qijie Shen Hong Wen Jing Zhang Qi Rao 27 13 0 04 Apr 2023
A Survey on Vertical Federated Learning: From a Layered Perspective Liu Yang Di Chai Junxue Zhang Yilun Jin Leye Wang Hao Liu Han Tian Qian Xu Kai Chen FedML 30 27 0 04 Apr 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 25 0 0 24 Mar 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 38 0 0 23 Mar 2023
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting K. Yawata Yoshihiro Osakabe Takuya Okuyama A. Asahara 14 4 0 17 Mar 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular Data Mario Villaizán-Vallelado Matteo Salvatori B. Carro Antonio J. Sánchez-Esguevillas AI4CE LMTD 28 14 0 11 Mar 2023
KDSM: An uplift modeling framework based on knowledge distillation and sample matching Chang Sun Qianying Li Guanxiang Wang S. Xu Yitong Liu 17 0 0 06 Mar 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation Shuai Xiao Zaifan Jiang Shuang Yang 7 3 0 03 Mar 2023
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing Shuai Xiao Le Guo Zaifan Jiang Lei Lv Yuanbo Chen Jun Zhu Shuang Yang 14 21 0 02 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue W. Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 34 2 0 01 Mar 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation Guoqiang Sun Yibin Shen Sijing Zhou Xiang Chen Hongyan Liu Chunming Wu Chenyi Lei Xianhui Wei Fei Fang 15 10 0 28 Feb 2023
Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up Shenzheng Zhang Qiurong Tan Xinzhi Zheng Yi Ren Xunming Zhao 8 0 0 28 Feb 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter Vanessa Cai Pradeep Prabakar Manuel Serrano Rebuelta Lucas Rosen Federico Monti ... Tomo Lazovich J. Raj Y. Shrinivasan Hao Li Thomas Markovich 19 0 0 27 Feb 2023
Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations Yujeong Choi John Kim Minsoo Rhu 13 1 0 23 Feb 2023
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation Samuel Hsia Udit Gupta Bilge Acun Newsha Ardalani Pan Zhong Gu-Yeon Wei David Brooks Carole-Jean Wu 33 17 0 21 Feb 2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning Sirui Ding Ruixiang Tang Daochen Zha Na Zou Kai Zhang Xiaoqian Jiang Xia Hu 21 9 0 18 Feb 2023
Neighbor Based Enhancement for the Long-Tail Ranking Problem in Video Rank Models Xuanji Xiao Ziyu He 13 2 0 16 Feb 2023
Market-Aware Models for Efficient Cross-Market Recommendation Samarth Bhargav Mohammad Aliannejadi Evangelos Kanoulas 34 2 0 14 Feb 2023
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation Alejandro Ariza-Casabona Bartlomiej Twardowski Tri Kurniawan Wijaya 18 4 0 12 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 69 51 0 10 Feb 2023
Enhancing E-Commerce Recommendation using Pre-Trained Language Model and Fine-Tuning Nuofan Xu Chenhui Hu 13 2 0 09 Feb 2023
Multi-Task Recommendations with Reinforcement Learning Ziru Liu Jiejie Tian Qingpeng Cai Xiangyu Zhao Jingtong Gao ... Da Chen Tonghao He Dong Zheng Peng Jiang Kun Gai 28 41 0 07 Feb 2023
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce Xiaowen Shi Fan Yang Ze Wang Xiaoxu Wu Muzhi Guan Guogang Liao Yongkang Wang Xingxing Wang Dong Wang 19 3 0 06 Feb 2023
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking Shanlei Mu Penghui Wei Wayne Xin Zhao Shaoguo Liu Liangji Wang Bo Zheng 17 4 0 06 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 25 0 0 04 Feb 2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation Qingpeng Cai Zhenghai Xue Chi Zhang Wanqi Xue Shuchang Liu ... Tianyou Zuo Wentao Xie Dong Zheng Peng Jiang Kun Gai OffRL CML 19 44 0 03 Feb 2023
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 19 9 0 03 Feb 2023
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads A. Awad Denisa Roberts Eden Dolev Andrea Heyman Zahra Ebrahimzadeh Zoe Weil Marcin Mejran Vaibhav Malpani Mahir Yavuz 25 6 0 02 Feb 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning Xin Dong Ruize Wu Chao Xiong Hai Li Lei Cheng Yong He Shiyou Qian Jian Cao Linjian Mo 6 4 0 31 Jan 2023
CMLCompiler: A Unified Compiler for Classical Machine Learning Xu Wen Wanling Gao An-Dong Li Lei Wang Zihan Jiang Jianfeng Zhan 20 0 0 31 Jan 2023
Causality-based CTR Prediction using Graph Neural Networks Panyu Zhai Yanwu Yang Chun-Hui Zhang CML GNN 8 30 0 30 Jan 2023
Decision-Making Context Interaction Network for Click-Through Rate Prediction Xiang Li Shuwei Chen Jian Dong Jin Zhang Yongkang Wang Xingxing Wang Dong Wang 14 9 0 29 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 34 2 0 26 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 41 0 0 19 Jan 2023
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models Geet Sethi Pallab Bhattacharya Dhruv Choudhary Carole-Jean Wu Christos Kozyrakis 11 5 0 08 Jan 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen D. Z. Chen Jian Wu Jimeng Sun LMTD 38 22 0 07 Jan 2023