Scaling Law for Recommendation Models: Towards General-purpose User Representations

15 November 2021

Papers citing "Scaling Law for Recommendation Models: Towards General-purpose User Representations"

24 / 24 papers shown

Title
On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition Adrian Cosma Andy Catruna Emilian Radoi 31 0 0 10 Apr 2025
(Mis)Fitting: A Survey of Scaling Laws Margaret Li Sneha Kudugunta Luke Zettlemoyer 69 2 0 26 Feb 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay H. Li 41 1 0 20 Feb 2025
$FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer$ FuXi- $\alpha$ : Scaling Recommendation Model with Feature Interaction Enhanced Transformer Yufei Ye Wei Guo Jin Yao Chin Hao Wang Hong Zhu ... Yuyang Ye Y. Liu Ruiming Tang Defu Lian Enhong Chen 92 2 0 05 Feb 2025
Scaling Sequential Recommendation Models with Transformers Pablo Zivic Hernán Ceferino Vázquez Jorge Sanchez OffRL LRM 79 1 0 10 Dec 2024
Scaling Laws for Online Advertisement Retrieval Yunli Wang Z. Yang Z. Zhang Zhiqiang Wang Jian Yang Shiyang Wen Peng Jiang Kun Gai OffRL 67 4 0 20 Nov 2024
SoMeR: Multi-View User Representation Learning for Social Media Siyi Guo Keith Burghardt Valeria Pante Kristina Lerman AI4TS 21 0 0 02 May 2024
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors Binzong Geng Zhaoxin Huan Xiaolu Zhang Yong He Liang Zhang Fajie Yuan Jun Zhou Linjian Mo 19 18 0 28 Mar 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation Buyun Zhang Liang Luo Yuxin Chen Jade Nie Xi Liu ... Guna Lakshminarayanan Ellie Wen Jongsoo Park Maxim Naumov Wenlin Chen ALM 24 18 0 04 Mar 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations Jiaqi Zhai Lucy Liao Xing Liu Yueming Wang Rui Li ... Zhaojie Gong Fangda Gu Michael He Yin-Hua Lu Yu Shi OffRL 24 43 0 27 Feb 2024
Predicting Viral Rumors and Vulnerable Users for Infodemic Surveillance Xuan Zhang Wei Gao 19 0 0 18 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao FedML 57 37 0 06 Jan 2024
Large Language Models are Zero-Shot Rankers for Recommender Systems Yupeng Hou Junjie Zhang Zihan Lin Hongyu Lu Ruobing Xie Julian McAuley Wayne Xin Zhao LRM ALM 22 299 0 15 May 2023
Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards Chanjun Park Hyeonseok Moon Seolhwa Lee Jaehyung Seo Sugyeong Eo Heu-Jeoung Lim 17 2 0 20 Mar 2023
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning Kyuyong Shin Hanock Kwak Wonjae Kim Jisu Jeong Seungjae Jung KyungHyun Kim Jung-Woo Ha Sang-Woo Lee 14 4 0 07 Dec 2022
Learning Large-scale Universal User Representation with Sparse Mixture of Experts Caigao Jiang Siqiao Xue James Y. Zhang Lingyue Liu Zhibo Zhu Hongyan Hao 19 4 0 11 Jul 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 23 444 0 24 Mar 2022
Nonlinear Initialization Methods for Low-Rank Neural Networks Kiran Vodrahalli Rakesh Shivanna M. Sathiamoorthy Sagar Jain Ed H. Chi 17 4 0 02 Feb 2022
Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling Bei Yang Jie Gu Ke Liu Xiaoxiao Xu Renjun Xu Qinghui Sun Hong Liu 25 3 0 20 Oct 2021
Interest-oriented Universal User Representation via Contrastive Learning Qinghui Sun Jie Gu Bei Yang Xiaoxiao Xu Renjun Xu Shangde Gao Hong Liu Huan Xu SSL AI4TS 41 6 0 18 Sep 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers Boseop Kim Hyoungseok Kim Sang-Woo Lee Gichang Lee Donghyun Kwak ... Jaewook Kang Inho Kang Jung-Woo Ha W. Park Nako Sung VLM 246 121 0 10 Sep 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text Hassan Akbari Liangzhe Yuan Rui Qian Wei-Hong Chuang Shih-Fu Chang Yin Cui Boqing Gong ViT 248 577 0 22 Apr 2021
Learning Curve Theory Marcus Hutter 132 58 0 08 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 228 4,460 0 23 Jan 2020