Sequential Scenario-Specific Meta Learner for Online Recommendation

2 June 2019

Zhengxiao Du

Xiaowei Wang

Hongxia Yang

Jingren Zhou

Papers citing "Sequential Scenario-Specific Meta Learner for Online Recommendation"

34 / 34 papers shown

Title
A Convex Formulation of Game-theoretic Hierarchical Routing Dong Ho Lee Kaitlyn Donnel Max Z. Li David Fridovich-Keil 53 0 0 18 Mar 2025
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning Y. Luo Yuezihan Jiang Yinjie Jiang Gaode Chen J. Wang Kaigui Bian Peiyi Li Qi Zhang 32 0 0 18 Nov 2024
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction Han Xu Taoxing Pan Zhiqiang Liu Xiaoxiao Xu Lantao Hu 21 0 0 19 Oct 2024
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction Wenhao Li Jie Zhou Chuan Luo Chao Tang Kun Zhang Shixiong Zhao 54 0 0 03 Aug 2024
LiMAML: Personalization of Deep Recommender Models via Meta Learning Ruofan Wang Prakruthi Prabhakar Gaurav Srivastava Tianqi Wang Zeinab S. Jalali ... Divya Venugopalan Aman Gupta Fedor Borisyuk S. Keerthi A. Muralidharan 37 0 0 23 Feb 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems Youshao Xiao Shangchun Zhao Zhenglei Zhou Zhaoxin Huan Lin Ju Xiaolu Zhang Lin Wang Jun Zhou OffRL 41 8 0 09 Jan 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning Ximei Wang Junwei Pan Xingzhuo Guo Dapeng Liu Jie Jiang OOD 36 2 0 19 Sep 2023
Ensuring User-side Fairness in Dynamic Recommender Systems Hyunsik Yoo Zhichen Zeng Jian Kang Ruizhong Qiu David Zhou Zhining Liu Fei Wang Charlie Xu Eunice Chan Hanghang Tong 16 11 0 29 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 29 1 0 16 Aug 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 71 31 0 22 Jun 2023
Towards Open Temporal Graph Neural Networks Kaituo Feng Changsheng Li Xiaolu Zhang Jun Zhou AI4CE 27 15 0 27 Mar 2023
Meta-Shop: Improving Item Advertisement For Small Businesses Yang Shi Guannan Liang Young-joo Chung 30 0 0 02 Dec 2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation Jing Du Zesheng Ye Lina Yao Bin Guo Zhiwen Yu AI4TS 19 12 0 09 Aug 2022
Comprehensive Fair Meta-learned Recommender System Tianxin Wei Jingrui He FedML FaML OffRL 19 38 0 09 Jun 2022
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations K. Neupane Ervine Zheng Yu Kong Qi Yu 18 15 0 03 Apr 2022
Meta-Learning for Online Update of Recommender Systems Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee KELM 11 18 0 19 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 27 157 0 07 Mar 2022
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation Yue He Zimu Wang Peng Cui Hao Zou Yafeng Zhang Qiang Cui Yong-jia Jiang OOD CML OODD 28 54 0 08 Feb 2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation Yuntao Du Xinjun Zhu Lu Chen Ziquan Fang Yunjun Gao VLM OffRL 26 46 0 08 Feb 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 20 27 0 17 Jan 2022
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios Xiaofeng Pan Ming Li Jing Zhang Keren Yu Luping Wang Hong Wen Chengjun Mao Bo Cao 10 8 0 27 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 32 22 0 04 Dec 2021
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 19 22 0 18 Oct 2021
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation Xidong Feng Cheng Chen Dong Li Mengchen Zhao Jianye Hao Jun Wang OffRL 21 23 0 24 Aug 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery Shuliang Xu Sheng-lan Liu Lin Feng SSL 11 2 0 05 Feb 2021
Cold-start Sequential Recommendation via Meta Learner Yujia Zheng Siyi Liu Zekun Li Shu Wu 51 63 0 10 Dec 2020
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Manqing Dong Feng Yuan Lina Yao Xiwei Xu Liming Zhu CLL 10 164 0 07 Jul 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 19 64 0 21 May 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 29 5 0 18 Mar 2020
Meta Matrix Factorization for Federated Rating Predictions Yujie Lin Pengjie Ren Zhumin Chen Z. Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 20 115 0 22 Oct 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 22 385 0 23 Feb 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017