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MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

7 July 2020
Manqing Dong
Feng Yuan
Lina Yao
Xiwei Xu
Liming Zhu
    CLL
ArXivPDFHTML

Papers citing "MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation"

17 / 17 papers shown
Title
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
Sidharth Agarwal
Tanishq Dubey
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
42
0
0
02 Mar 2025
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Y. Luo
Yuezihan Jiang
Yinjie Jiang
Gaode Chen
Jiadong Wang
Kaigui Bian
Peiyi Li
Qi Zhang
32
0
0
18 Nov 2024
Sequential LLM Framework for Fashion Recommendation
Sequential LLM Framework for Fashion Recommendation
Han Liu
Xianfeng Tang
Tianlang Chen
Jiapeng Liu
Indu Indu
...
Roberto Fernandez Galan
Michael D Porter
Dongmei Jia
Ning Zhang
Lian Xiong
AI4TS
35
1
0
15 Oct 2024
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
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
Attention Weighted Mixture of Experts with Contrastive Learning for
  Personalized Ranking in E-commerce
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
Juan Gong
Zhe Chen
Chao Ma
Zhuojian Xiao
Hong Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yunjiang Jiang
16
4
0
08 Jun 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation
ColdNAS: Search to Modulate for User Cold-Start Recommendation
Shiguang Wu
Yaqing Wang
Qinghe Jing
Daxiang Dong
Dejing Dou
Quanming Yao
19
7
0
06 Jun 2023
Deep trip generation with graph neural networks for bike sharing system
  expansion
Deep trip generation with graph neural networks for bike sharing system expansion
Yuebing Liang
Fangyi Ding
Guan Huang
Zhan Zhao
AI4TS
29
15
0
20 Mar 2023
Learn to Explore: on Bootstrapping Interactive Data Exploration with
  Meta-learning
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning
Yukun Cao
Xike Xie
Kexin Huang
31
4
0
07 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses
Meta-Shop: Improving Item Advertisement For Small Businesses
Yang Shi
Guannan Liang
Young-joo Chung
30
0
0
02 Dec 2022
Knowledge-Driven New Drug Recommendation
Knowledge-Driven New Drug Recommendation
Zhenbang Wu
Huaxiu Yao
Zhe Su
David M. Liebovitz
Lucas Glass
James Zou
Chelsea Finn
Jimeng Sun
18
4
0
11 Oct 2022
Personalizing Intervened Network for Long-tailed Sequential User
  Behavior Modeling
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
Zheqi Lv
Feng Wang
Shengyu Zhang
Kun Kuang
Hongxia Yang
Fei Wu
37
8
0
19 Aug 2022
Diverse Preference Augmentation with Multiple Domains for Cold-start
  Recommendations
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Yan Zhang
Changyu Li
Ivor W. Tsang
Hui Xu
Lixin Duan
Hongzhi Yin
Wen Li
Jie Shao
26
9
0
01 Apr 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation
  via Cross-Region Transfer
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Vinayak Gupta
Srikanta J. Bedathur
43
19
0
16 Jan 2022
Personalized Adaptive Meta Learning for Cold-start User Preference
  Prediction
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
Runsheng Yu
Yu Gong
Xu He
Bo An
Yu Zhu
Qingwen Liu
Wenwu Ou
25
57
0
22 Dec 2020
Cold-start Sequential Recommendation via Meta Learner
Cold-start Sequential Recommendation via Meta Learner
Yujia Zheng
Siyi Liu
Zekun Li
Shu Wu
51
63
0
10 Dec 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Tong Zhao
Bo Ni
Wenhao Yu
Zhichun Guo
Neil Shah
Meng Jiang
45
19
0
20 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
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