Title
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services Guyu Jiang Xiaoyun Li Rongrong Jing Ruoqi Zhao Xingliang Ni Guodong Cao Ning Hu 23 3 0 10 Aug 2023
TBIN: Modeling Long Textual Behavior Data for CTR Prediction Shuwei Chen Xiang Li Jian Dong Jin Zhang Yongkang Wang Xingxing Wang 10 3 0 09 Aug 2023
Randomized algorithms for precise measurement of differentially-private, personalized recommendations Allegra Laro Yanqing Chen Hao He Babak Aghazadeh 12 0 0 07 Aug 2023
Bootstrapping Contrastive Learning Enhanced Music Cold-Start Matching Xinping Zhao Y. Zhang Qiang Xiao Yuming Ren Yingchun Yang 19 4 0 05 Aug 2023
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction Haoxuan Li Taojun Hu Zetong Xiong Chunyuan Zheng Fuli Feng Xiangnan He Xiao-Hua Zhou MedIm 16 1 0 03 Aug 2023
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction J. M. Rodríguez Antonela Tommasel OffRL 28 1 0 03 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 13 1 0 31 Jul 2023
Online Matching: A Real-time Bandit System for Large-scale Recommendations Xinyang Yi Shaoyang Wang Ruining He Hariharan Chandrasekaran Charles Wu Lukasz Heldt Lichan Hong Minmin Chen Ed H. Chi OffRL 22 3 0 29 Jul 2023
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning Menglin Kong Ri-Qi Su Shaojie Zhao Muzhou Hou MoE 26 0 0 24 Jul 2023
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems Guan Shen Jieru Zhao Zeke Wang Zhehan Lin Wenchao Ding Chentao Wu Quan Chen Minyi Guo 26 4 0 23 Jul 2023
NCART: Neural Classification and Regression Tree for Tabular Data Jiaqi Luo Shi-qian Xu 17 8 0 23 Jul 2023
Methodologies for Improving Modern Industrial Recommender Systems Shusen Wang 14 0 0 21 Jul 2023
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing Qifang Zhao Tianyu Li Meng Du Yu-lin Jiang Qinghui Sun Zhongyao Wang Hong Liu Huan Xu 14 1 0 19 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 23 4 0 18 Jul 2023
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors Dongning Ma Xun Jiao Fred Lin Mengshi Zhang Alban Desmaison Thomas Sellinger Daniel Moore Sriram Sankar 16 2 0 17 Jul 2023
OpenSiteRec: An Open Dataset for Site Recommendation Xinhang Li Xiang Zhao Yejing Wang Yu Liu Yong Li Cheng Long Yong Zhang Chunxiao Xing 11 0 0 03 Jul 2023
Multi-Scenario Ranking with Adaptive Feature Learning Yu Tian Bofang Li Si Chen Xubin Li Hongbo Deng Jian Xu Bo Zheng Qian Wang Chenliang Li 15 9 0 29 Jun 2023
Scalable Neural Contextual Bandit for Recommender Systems Zheqing Zhu Benjamin Van Roy OffRL 24 9 0 26 Jun 2023
A Collaborative Transfer Learning Framework for Cross-domain Recommendation Wei Emma Zhang Peng Zhang Bo-Wen Zhang Xingxing Wang Dong Wang 13 13 0 26 Jun 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation Yuwei Cao Liangwei Yang Chen Wang Zhiwei Liu Hao Peng Chenyu You Philip S. Yu 18 21 0 26 Jun 2023
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer Jiaxin Deng Dong Shen Shiyao Wang Xiangyu Wu Fan Yang Guorui Zhou Gaofeng Meng 25 1 0 26 Jun 2023
DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graph Yajing Yang Zeyu Zeng Mao Chen Ruirui Shang 16 0 0 24 Jun 2023
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects Xinghua Qu Hongyang Liu Zhu Sun Xiang Yin Yew-Soon Ong Lu Lu Zejun Ma 29 3 0 14 Jun 2023
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations Anima Singh Trung Vu Nikhil Mehta Raghunandan H. Keshavan M. Sathiamoorthy ... Lukasz Heldt Li Wei Devansh Tandon Ed H. Chi Xinyang Yi 16 19 0 13 Jun 2023
NFTs to MARS: Multi-Attention Recommender System for NFTs Seonmi Kim Youngbin Lee Yejin Kim J. Hong Yongjae Lee 8 0 0 13 Jun 2023
GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation Vladimir Mashurov Vaagn Chopurian Vadim Porvatov Arseny Ivanov Natalia Semenova ViT 17 10 0 07 Jun 2023
Revisiting Neural Retrieval on Accelerators Jiaqi Zhai Zhaojie Gong Yueming Wang Xiao Sun Zheng Yan Fu Li Xing Liu 13 9 0 06 Jun 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation Shiguang Wu Yaqing Wang Qinghe Jing Daxiang Dong Dejing Dou Quanming Yao 17 7 0 06 Jun 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 24 4 0 05 Jun 2023
STUDY: Socially Aware Temporally Causal Decoder Recommender Systems Eltayeb Ahmed Diana Mincu Lauren Harrell Katherine A. Heller Subhrajit Roy 11 0 0 02 Jun 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems Pan Li Yuyan Wang Ed H. Chi Minmin Chen 16 2 0 02 Jun 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu Zhe Feng Zachary Robertson Sanmi Koyejo 15 2 0 01 Jun 2023
A New PHO-rmula for Improved Performance of Semi-Structured Networks David Rügamer 18 10 0 01 Jun 2023
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest Xue Xia Pong Eksombatchai Nikil Pancha Dhruvil Badani Po-Wei Wang Neng Gu Saurabh Vishwas Joshi Nazanin Farahpour Zhiyuan Zhang Andrew Zhai AI4TS 9 13 0 31 May 2023
Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates Erik Fubel Niclas Michael Groll Patrick Gundlach Qiwei Han Maximilian Kaiser 19 5 0 31 May 2023
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models Zhaocheng Liu Zhongxiang Fan Jian Liang Dongying Kong Han Li 6 1 0 31 May 2023
Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning Yi Lu Yadong Wang Xingbo Jiang X. Bai 64 1 0 30 May 2023
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender Shuai Yang Lixin Zhang Feng Xia Leyu Lin 11 1 0 29 May 2023
Optimizing Airbnb Search Journey with Multi-task Learning Chun How Tan Austin Chan Malay Haldar Jie Tang Xin Liu Mustafa Abdool Huiji Gao Li He Sanjeev Katariya 31 5 0 28 May 2023
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer Kaize Ding Albert Jiongqian Liang Bryan Perrozi Ting-Li Chen Ruoxi Wang Lichan Hong Ed H. Chi Huan Liu D. Cheng 19 13 0 27 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems Xiaohui Chen Jiankai Sun Taiqing Wang Ruocheng Guo Liping Liu Aonan Zhang 25 3 0 25 May 2023
Breaking the Curse of Quality Saturation with User-Centric Ranking Zhuokai Zhao Yang Yang Wenyu Wang Chi-Yu Liu Yunluo Shi Wenjie Hu Haotian Zhang Shuangjun Yang 26 3 0 24 May 2023
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning Ruiyang Xu Jalaj Bhandari D. Korenkevych F. Liu Yuchen He Alex Nikulkov Zheqing Zhu OffRL 28 6 0 23 May 2023
UP5: Unbiased Foundation Model for Fairness-aware Recommendation Wenyue Hua Yingqiang Ge Shuyuan Xu Jianchao Ji Yongfeng Zhang 21 51 0 20 May 2023
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems Menglin Kong Muzhou Hou Shaojie Zhao Feng Liu Ri-Qi Su Ying-Hsiu Chen 11 6 0 20 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 24 12 0 15 May 2023
How to Index Item IDs for Recommendation Foundation Models Wenyue Hua Shuyuan Xu Yingqiang Ge Yongfeng Zhang 14 103 0 11 May 2023
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation Ye Lin Shuhan Zhou Yanyang Li Anxiang Ma Tong Xiao Jingbo Zhu 22 0 0 10 May 2023
Recommender Systems with Generative Retrieval Shashank Rajput Nikhil Mehta Anima Singh Raghunandan H. Keshavan T. Vu ... Vinh Q. Tran Jonah Samost Maciej Kula Ed H. Chi M. Sathiamoorthy RALM 3DV 21 74 0 08 May 2023
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models Sanghyeon Park Junmo Lee Soo-Mook Moon 38 1 0 06 May 2023