Title
The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion Andrew Qiu Shubham Barhate Hin Wai Lui Runze Su Rafael Rios Müller Kungang Li Ling Leng Han Sun Shayan Ehsani Zhifang Liu 31 0 0 08 May 2025
An Enhanced Batch Query Architecture in Real-time Recommendation Qiang Zhang Zhipeng Teng Disheng Wu Jiayin Wang 18 0 0 31 Aug 2024
Deep Feature Embedding for Tabular Data Yuqian Wu Hengyi Luo Raymond S. T. Lee LMTD 21 4 0 30 Aug 2024
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems Qinyi Luo Penghan Wang Wei Zhang Fan Lai Jiachen Mao ... Jun Song Wei-Yu Tsai Shuai Yang Yuxi Hu Xuehai Qian 45 0 0 09 Jan 2024
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Experimental Analysis of Large-scale Learnable Vector Storage Compression Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Bin Cui 19 11 0 27 Nov 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou Dawei Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 36 10 0 28 Oct 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
Extracting Text Representations for Terms and Phrases in Technical Domains Francesco Fusco Diego Antognini 27 0 0 25 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
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems H. Hashemi Wenjie Xiong Liu Ke Kiwan Maeng M. Annavaram G. E. Suh Hsien-Hsin S. Lee 11 6 0 12 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 95 7 0 12 Dec 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 15 28 0 05 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 35 46 0 21 Sep 2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems Daochen Zha Louis Feng Bhargav Bhushanam Dhruv Choudhary Jade Nie Yuandong Tian Jay Chae Yi-An Ma A. Kejariwal Xia Hu 22 30 0 12 Aug 2022
Efficient Mixed Dimension Embeddings for Matrix Factorization D. Beloborodov Andrei Zimovnov Petr Molodyk Dmitrii Kirillov 4 2 0 18 May 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 16 6 0 28 Mar 2022
Learning Compressed Embeddings for On-Device Inference Niketan Pansare J. Katukuri Aditya Arora F. Cipollone R. Shaik Noyan Tokgozoglu Chandru Venkataraman 24 14 0 18 Mar 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
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters Xiangru Lian Binhang Yuan Xuefeng Zhu Yulong Wang Yongjun He ... Lei Yuan Hai-bo Yu Sen Yang Ce Zhang Ji Liu VLM 17 34 0 10 Nov 2021
Position-based Hash Embeddings For Scaling Graph Neural Networks Maria Kalantzi George Karypis GNN 16 4 0 31 Aug 2021
Binary Code based Hash Embedding for Web-scale Applications Bencheng Yan Pengjie Wang Jinquan Liu Wei-Chao Lin Kuang-chih Lee Jian Xu Bo Zheng 11 19 0 24 Aug 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer Bencheng Yan Pengjie Wang Kai Zhang Wei Lin Kuang-chih Lee Jian Xu Bo Zheng 22 26 0 24 Aug 2021
Online Learning for Recommendations at Grubhub A. Egg OffRL OnRL 24 9 0 15 Jul 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 59 82 0 19 Jan 2021
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 45 68 0 21 Oct 2020