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Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems

Knowledge Discovery and Data Mining (KDD), 2019

4 September 2019

Papers citing "Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems"

50 / 63 papers shown

Title
Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectivesElectronic Commerce Research (ECR), 2025 Shan Gao Yanwu Yang 28 0 0 01 Dec 2025
Probabilistic Hash Embeddings for Online Learning of Categorical Features Aodong Li Abishek Sankararaman Balakrishnan Narayanaswamy 124 0 0 25 Nov 2025
CLAX: Fast and Flexible Neural Click Models in JAX Philipp Hager O. Zoeter Maarten de Rijke 80 0 0 05 Nov 2025
MMbeddings: Parameter-Efficient, Low-Overfitting Probabilistic Embeddings Inspired by Nonlinear Mixed Models Giora Simchoni Saharon Rosset BDL 196 0 0 25 Oct 2025
Federated Consistency- and Complementarity-aware Consensus-enhanced Recommendation Yunqi Mi Boyang Yan Guoshuai Zhao Jialie Shen Xueming Qian FedML 76 0 0 27 Aug 2025
Semantic IDs for Music RecommendationACM Conference on Recommender Systems (RecSys), 2025 M. J. Mei Florian Henkel Samuel E. Sandberg Oliver Bembom Andreas Ehmann VLM 74 1 0 24 Jul 2025
HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption Karthik Garimella Austin Ebel Gabrielle De Micheli Brandon Reagen FedML 180 4 0 22 Jun 2025
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering Xurong Liang Tong Chen Wei Yuan Hongzhi Yin 154 0 0 25 May 2025
SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models Jinho Yang Ji-Hoon Kim Joo-Young Kim 255 0 0 01 Apr 2025
A Universal Framework for Compressing Embeddings in CTR Prediction Kefan Wang Hao Wang Kenan Song Wei Guo Kai Cheng Hao Sun Yixiao Liu Defu Lian Tong Xu 266 4 0 24 Feb 2025
DQRM: Deep Quantized Recommendation Models Yang Zhou Zhen Dong Ellick Chan Dhiraj Kalamkar Diana Marculescu Kurt Keutzer MQ 356 2 0 26 Oct 2024
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System InferencesMicro (MICRO), 2024 Pingyi Huo Anusha Devulapally Hasan Al Maruf Minseo Park Krishnakumar Nair Meena Arunachalam Gulsum Gudukbay Akbulut M. Kandemir Vijaykrishnan Narayanan 164 5 0 25 Sep 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 393 7 0 25 Jun 2024
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings Yassaman Ebrahimzadeh Maboud Muhammad Adnan Divyat Mahajan Shiyang Chen AI4TS 216 0 0 22 Mar 2024
LiRank: Industrial Large Scale Ranking Models at LinkedInKnowledge Discovery and Data Mining (KDD), 2024 Fedor Borisyuk Mingzhou Zhou Qingquan Song Sirou Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 161 9 0 10 Feb 2024
On-Device Recommender Systems: A Comprehensive Survey Hongzhi Yin Liang Qu Tong Chen Wei Yuan Ruiqi Zheng Jing Long Xin Xia Yuhui Shi Chengqi Zhang 282 56 0 21 Jan 2024
Handling Large-scale Cardinality in building recommendation systems Dhruva Dixith Kurra Bo Ling Chun Zh Seyedshahin Ashrafzadeh 89 2 0 17 Jan 2024
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models Hailin Zhang Zirui Liu Boxuan Chen Yikai Zhao Tong Zhao Tong Yang Tengjiao Wang 197 16 0 06 Dec 2023
Experimental Analysis of Large-scale Learnable Vector Storage CompressionProceedings of the VLDB Endowment (PVLDB), 2023 Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Tengjiao Wang 268 17 0 27 Nov 2023
Embedding in Recommender Systems: A Survey Maolin Wang Xinjian Zhao Xinjian Zhao Jiansheng Li Shucheng Zhou ... Shucheng Zhou D. Yin Qing Li Ruocheng Guo Xiangyu Zhao AI4TS 314 29 0 28 Oct 2023
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding TrainingAsian Conference on Machine Learning (ACML), 2023 Selim F. Yilmaz Benjamin Ghaemmaghami A. Singh Benjamin Cho Leo Orshansky Lei Deng Michael Orshansky AI4TS 128 0 0 27 Sep 2023
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale Hao-Jun Michael Shi Tsung-Hsien Lee Shintaro Iwasaki Jose Gallego-Posada Zhijing Li Kaushik Rangadurai Dheevatsa Mudigere Michael Rabbat ODL 212 43 0 12 Sep 2023
Pb-Hash: Partitioned b-bit HashingInternational Conference on the Theory of Information Retrieval (ICTIR), 2023 Ping Li Weijie Zhao MoE 98 0 0 28 Jun 2023
Review of compressed embedding layers and their applications for recommender systems Tamás Hajgató 146 0 0 23 Jun 2023
Extracting Text Representations for Terms and Phrases in Technical DomainsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Francesco Fusco Diego Antognini 133 1 0 25 May 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML SystemsNeural Information Processing Systems (NeurIPS), 2023 Benjamin Coleman Wang-Cheng Kang Matthew Fahrbach Ruoxi Wang Lichan Hong Ed H. Chi D. Cheng 298 20 0 20 May 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative RepresentationAsian Conference on Machine Learning (ACML), 2023 Gopu Krishna Jha Anthony Thomas Nilesh Jain Sameh Gobriel Tajana Rosing Ravi Iyer 179 4 0 12 May 2023
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost ModelsConference on Machine Learning and Systems (MLSys), 2023 Daochen Zha Louis Feng Liangchen Luo Bhargav Bhushanam Zirui Liu ... J. McMahon Yuzhen Huang Bryan Clarke A. Kejariwal Helen Zhou 206 10 0 03 May 2023
Continuous Input Embedding Size Search For Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Yunke Qu Tong Chen Xiangyu Zhao Lizhen Cui Kai Zheng Hongzhi Yin AI4TS 299 21 0 07 Apr 2023
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path RecommendationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023 Samuel Hsia Udit Gupta Bilge Acun Newsha Ardalani Pan Zhong Gu-Yeon Wei David Brooks Carole-Jean Wu 193 20 0 21 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 229 25 0 05 Feb 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate PredictionAAAI Conference on Artificial Intelligence (AAAI), 2022 Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 521 24 0 12 Dec 2022
Learning Vector-Quantized Item Representation for Transferable Sequential RecommendersThe Web Conference (WWW), 2022 Yupeng Hou Zhankui He Julian McAuley Wayne Xin Zhao 254 201 0 22 Oct 2022
Clustering the Sketch: A Novel Approach to Embedding Table CompressionNeural Information Processing Systems (NeurIPS), 2022 Henry Ling-Hei Tsang Thomas Dybdahl Ahle 292 4 0 12 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender SystemsNeural Information Processing Systems (NeurIPS), 2022 Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Helen Zhou LMTD OffRL 257 35 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 232 59 0 21 Sep 2022
AutoShard: Automated Embedding Table Sharding for Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2022 Daochen Zha Louis Feng Bhargav Bhushanam Dhruv Choudhary Jade Nie Yuandong Tian Jay Chae Yi-An Ma A. Kejariwal Helen Zhou 150 33 0 12 Aug 2022
$The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)$ The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB) Aditya Desai Anshumali Shrivastava AI4CE 170 3 0 21 Jul 2022
Nimble GNN Embedding with Tensor-Train DecompositionKnowledge Discovery and Data Mining (KDD), 2022 Chunxing Yin Da Zheng Israt Nisa Christos Faloutsos George Karypis R. Vuduc GNN 160 18 0 21 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data HeterogeneityACM Conference on Recommender Systems (RecSys), 2022 Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 206 37 0 30 May 2022
Efficient Mixed Dimension Embeddings for Matrix Factorization D. Beloborodov Andrei Zimovnov Petr Molodyk Dmitrii Kirillov 139 2 0 18 May 2022
Heterogeneous Acceleration Pipeline for Recommendation System TrainingInternational Symposium on Computer Architecture (ISCA), 2022 Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Shiyang Chen 190 23 0 11 Apr 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 161 8 0 28 Mar 2022
Learning Compressed Embeddings for On-Device InferenceConference on Machine Learning and Systems (MLSys), 2022 Niketan Pansare J. Katukuri Aditya Arora F. Cipollone R. Shaik Noyan Tokgozoglu Chandru Venkataraman 212 16 0 18 Mar 2022
Click-Through Rate Prediction in Online Advertising: A Literature ReviewInformation Processing & Management (IPM), 2022 Yanwu Yang Panyu Zhai CML 3DV 204 129 0 22 Feb 2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation Mengyue Hang Tobias Schnabel Longqi Yang Jennifer Neville 110 6 0 04 Feb 2022
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 435 93 0 08 Nov 2021
Differentiable NAS Framework and Application to Ads CTR Prediction Ravi Krishna Aravind Kalaiah Bichen Wu Maxim Naumov Dheevatsa Mudigere M. Smelyanskiy Kurt Keutzer 164 8 0 25 Oct 2021
Position-based Hash Embeddings For Scaling Graph Neural Networks Maria Kalantzi George Karypis GNN 249 4 0 31 Aug 2021
Lightweight Self-Attentive Sequential RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2021 Yang Li Tong Chen Pengfei Zhang Hongzhi Yin HAI AI4TS 144 121 0 25 Aug 2021