Title
On the Adaptation to Concept Drift for CTR Prediction Congcong Liu Yuejiang Li Fei Teng Xiwei Zhao Changping Peng Zhangang Lin Jinghe Hu Jingping Shao 17 2 0 01 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 19 20 0 30 Mar 2022
BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models Arnab Chakraborty Vikas Raturi Shrutendra Harsola 17 0 0 30 Mar 2022
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search Zhifang Fan Dan Ou Yulong Gu Bairan Fu Xiang Li Wentian Bao Xinyu Dai Xiaoyi Zeng Tao Zhuang Qingwen Liu 19 25 0 29 Mar 2022
Learning to Collide: Recommendation System Model Compression with Learned Hash Functions Benjamin Ghaemmaghami Mustafa Ozdal Rakesh Komuravelli D. Korchev Dheevatsa Mudigere Krishnakumar Nair Maxim Naumov 26 6 0 28 Mar 2022
piRank: A Probabilistic Intent Based Ranking Framework for Facebook Search Zhen Liao FedML 6 1 0 27 Mar 2022
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) Shijie Geng Shuchang Liu Zuohui Fu Yingqiang Ge Yongfeng Zhang VLM AI4TS 23 447 0 24 Mar 2022
Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach Isaiah Hull Anna Grodecka-Messi 11 2 0 23 Mar 2022
Deep Multi-View Learning for Tire Recommendation Thomas Ranvier Kilian Bourhis K. Benabdeslem Bruno Canitia HAI 14 3 0 23 Mar 2022
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise Ragja Palakkadavath S. Sivaprasad Shirish S. Karande N. Pedanekar 13 0 0 18 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 19 2 0 14 Mar 2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation Liu Ke Udit Gupta Mark Hempstead Carole-Jean Wu Hsien-Hsin S. Lee Xuan Zhang 24 21 0 14 Mar 2022
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Yun He Xuening Feng Cheng Cheng Geng Ji Yunsong Guo James Caverlee 11 42 0 14 Mar 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 20 11 0 11 Mar 2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning Keqian Li Yifan Hu Logan Palanisamy Lisa Jones A. Gupta J. E. Grigsby Ili Selinger Matt Gillingham Fei Tan 21 1 0 09 Mar 2022
SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning Keqian Li Yifan Hu 23 0 0 09 Mar 2022
Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations Ruijie Yan Shuang Peng Haitao Mi Liang Jiang Shihui Yang Yuchi Zhang Jiajun Li Liangrui Peng Yongliang Wang Zujie Wen 20 4 0 08 Mar 2022
Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation Xudong Zhang Zan Wang Jingke Zhao Lanjun Wang AAML 13 10 0 04 Mar 2022
Differentially Private Label Protection in Split Learning Xin Yang Jiankai Sun Yuanshun Yao Junyuan Xie Chong-Jun Wang FedML 39 36 0 04 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 31 37 0 02 Mar 2022
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models Jingwei Zhuo Binda Liu Xiang Li Han Zhu Xiaoqiang Zhu 6 0 0 28 Feb 2022
BagPipe: Accelerating Deep Recommendation Model Training Saurabh Agarwal Chengpo Yan Ziyi Zhang Shivaram Venkataraman 24 17 0 24 Feb 2022
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace Pengyuan Zhou Benjamin Finley Lik-Hang Lee Yong Liao Haiyong Xie Pan Hui 14 0 0 22 Feb 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 45 94 0 22 Feb 2022
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction Sihao Hu Yihan Cao Yu Gong Zhao Li Yazheng Yang Qingwen Liu S. Ji 22 11 0 21 Feb 2022
UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision Tianyu Li Ali Cevahir Derek Cho Hao Gong Duy Nguyen B. Stenger SSL 13 1 0 14 Feb 2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation Yuntao Du Xinjun Zhu Lu Chen Ziquan Fang Yunjun Gao VLM OffRL 21 46 0 08 Feb 2022
NxtPost: User to Post Recommendations in Facebook Groups Kaushik Rangadurai Yiqun Liu Siddarth Malreddy Xiaoyi Liu P. Maheshwari Vishwanath Sangale Fedor Borisyuk 14 6 0 08 Feb 2022
Triangle Graph Interest Network for Click-through Rate Prediction Wensen Jiang Yizhu Jiao Qingqin Wang Chuanming Liang Lijie Guo Yao Zhang Zhijun Sun Yun Xiong Yangyong Zhu 14 17 0 06 Feb 2022
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation Qi Shen Hong Wen Wanjie Tao Jing Zhang Fuyu Lv Zulong Chen Zhao Li 26 47 0 05 Feb 2022
Sparsity Regularization For Cold-Start Recommendation A. Shah Hemanth Venkateswara 19 1 0 26 Jan 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 34 32 0 25 Jan 2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation Geet Sethi Bilge Acun Niket Agarwal Christos Kozyrakis Caroline Trippel Carole-Jean Wu 47 66 0 25 Jan 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems Renjie Gu Chaoyue Niu Yikai Yan Fan Wu Shaojie Tang Rongfeng Jia Chengfei Lyu Guihai Chen 19 9 0 24 Jan 2022
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference Alberto Delmas Lascorz Mostafa Mahmoud Andreas Moshovos MQ 20 1 0 21 Jan 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 22 19 0 19 Jan 2022
Continual Learning for CTR Prediction: A Hybrid Approach Ke Hu Yi Qi Jianqiang Huang Jia Cheng Jun Lei 23 6 0 18 Jan 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun M. Zhang Bolin Ding MU 36 85 0 18 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling Qianqian Zhang Xinru Liao Quanlian Liu Jian Xu Bo Zheng 20 52 0 18 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 20 27 0 17 Jan 2022
Deep Unified Representation for Heterogeneous Recommendation Chengqiang Lu Mingyang Yin Shuheng Shen Luo Ji Qi Liu Hongxia Yang DML 9 4 0 15 Jan 2022
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising Weijie Zhao Xuewu Jiao Mingqing Hu Xiaoyun Li X. Zhang Ping Li 3DV 32 8 0 05 Jan 2022
Attention-Based Recommendation On Graphs Taher Hekmatfar Saman Haratizadeh Parsa Razban S. Goliaei GNN 11 2 0 04 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection Yongchun Zhu Dongbo Xi Bowen Song Fuzhen Zhuang Shuai Chen Xi Gu Qing He 16 59 0 04 Jan 2022
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis Dongbo Xi Fuzhen Zhuang Bowen Song Yongchun Zhu Shuai Chen Dan Hong Tao Chen Xi Gu Qing He 20 18 0 31 Dec 2021
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction Xiaofeng Pan Yibin Shen Jing Zhang Xu He Yang Huang Hong Wen Chengjun Mao Bo Cao 12 2 0 27 Dec 2021
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction Kailun Wu Zhangming Chan Weijie Bian Lejian Ren Shiming Xiang Shuguang Han Hongbo Deng Bo Zheng 16 12 0 21 Dec 2021
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework Xupeng Miao Hailin Zhang Yining Shi Xiaonan Nie Zhi-Xin Yang Yangyu Tao Bin Cui 16 57 0 14 Dec 2021
A General Framework for Debiasing in CTR Prediction Wenjie Chu Shen Li Chao Chen Longfei Xu Hengbin Cui Kaikui Liu CML 34 4 0 06 Dec 2021
Multiple Interest and Fine Granularity Network for User Modeling Jiaxuan Xie Jianxiong Wei Q. Hua Yu Zhang AI4TS 17 0 0 05 Dec 2021