A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems

25 June 2024

Hung Vinh Tran

Tong Chen

Quoc Viet Hung Nguyen

Papers citing "A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems"

38 / 38 papers shown

Title
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation Shuyao Wang Yongduo Sui Jiancan Wu Zhi Zheng Hui Xiong 33 16 0 05 Feb 2024
Experimental Analysis of Large-scale Learnable Vector Storage Compression Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Tengjiao Wang 46 12 0 27 Nov 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems Benjamin Coleman Wang-Cheng Kang Matthew Fahrbach Ruoxi Wang Lichan Hong Ed H. Chi D. Cheng 70 11 0 20 May 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 78 17 0 21 Feb 2023
GPU-based Private Information Retrieval for On-Device Machine Learning Inference Maximilian Lam Jeff Johnson Wenjie Xiong Kiwan Maeng Udit Gupta ... Hsien-Hsin S. Lee Vijay Janapa Reddi Gu-Yeon Wei David Brooks Edward Suh 72 10 0 26 Jan 2023
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 237 10 0 12 Dec 2022
Effective and Efficient Training for Sequential Recommendation using Recency Sampling Aleksandr V. Petrov Craig Macdonald 44 28 0 06 Jul 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie M. Zhang 52 34 0 22 Jun 2022
Nimble GNN Embedding with Tensor-Train Decomposition Chunxing Yin Da Zheng Israt Nisa Christos Faloutsos George Karypis R. Vuduc GNN 56 17 0 21 Jun 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 91 15 0 21 May 2022
Learning Compressed Embeddings for On-Device Inference Niketan Pansare J. Katukuri Aditya Arora F. Cipollone R. Shaik Noyan Tokgozoglu Chandru Venkataraman 64 14 0 18 Mar 2022
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models Dheevatsa Mudigere Y. Hao Jianyu Huang Zhihao Jia Andrew Tulloch ... Ajit Mathews Lin Qiao M. Smelyanskiy Bill Jia Vijay Rao 72 152 0 12 Apr 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 279 712 0 31 Jan 2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models Chunxing Yin Bilge Acun Xing Liu Carole-Jean Wu 73 104 0 25 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 77 85 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 71 71 0 21 Oct 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 50 128 0 12 Sep 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati Vivek Ramanujan Raghav Somani Mitchell Wortsman Prateek Jain Sham Kakade Ali Farhadi 124 246 0 08 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 158 3,624 0 06 Feb 2020
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 64 142 0 02 Nov 2019
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems Hao-Jun Michael Shi Dheevatsa Mudigere Maxim Naumov Jiyan Yang 40 120 0 04 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 499 5,753 0 25 Jul 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Maurizio Ferrari Dacrema Paolo Cremonesi Dietmar Jannach 48 584 0 16 Jul 2019
Neural Input Search for Large Scale Recommendation Models Manas R. Joglekar Cong Li Jay K. Adams Pranav Khaitan Quoc V. Le 49 113 0 10 Jul 2019
Secure Federated Matrix Factorization Di Chai Leye Wang Kai Chen Qiang Yang FedML 44 319 0 12 Jun 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 156 2,965 0 20 May 2019
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Steffen Rendle Li Zhang Y. Koren 64 127 0 04 May 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 66 271 0 29 Jan 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 91 1,867 0 02 Dec 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 280 10,253 0 10 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 185 4,345 0 24 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 200 3,457 0 09 Mar 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang Pipei Huang Huan Zhao Zhibo Zhang Binqiang Zhao Lee 47 496 0 06 Mar 2018
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 104 2,640 0 13 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 277 5,360 0 03 Nov 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 127 2,059 0 04 Feb 2016
Modeling User Exposure in Recommendation Dawen Liang Laurent Charlin James McInerney David M. Blei 73 389 0 23 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 281 6,660 0 08 Jun 2015