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

15 / 15 papers shown
Title
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Yihao Luo
Yuezihan Jiang
Yinjie Jiang
Gaode Chen
Jiadong Wang
Kaigui Bian
Peiyi Li
Qi Zhang
59
0
0
18 Nov 2024
Learning to Recommend via Meta Parameter Partition
Learning to Recommend via Meta Parameter Partition
Liang Zhao
Yang Wang
Daxiang Dong
Hao Tian
OffRL
CLL
74
7
0
04 Dec 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start
  Recommendation
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee
Jinbae Im
Seongwon Jang
Hyunsouk Cho
Sehee Chung
37
363
0
31 Jul 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation
Sequential Scenario-Specific Meta Learner for Online Recommendation
Zhengxiao Du
Xiaowei Wang
Hongxia Yang
Jingren Zhou
Jie Tang
OffRL
LRM
CLL
72
118
0
02 Jun 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
90
1,814
0
10 Apr 2019
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
66
762
0
08 Oct 2018
Addressing the Item Cold-start Problem by Attribute-driven Active
  Learning
Addressing the Item Cold-start Problem by Attribute-driven Active Learning
Y. Zhu
Jinhao Lin
S. He
Beidou Wang
Ziyu Guan
Haifeng Liu
Deng Cai
171
130
0
23 May 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
81
395
0
22 Feb 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu
Noah D. Goodman
DRL
72
381
0
14 Feb 2018
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
101
2,932
0
26 May 2017
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
823
11,909
0
09 Mar 2017
A Knowledge-Grounded Neural Conversation Model
A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad
Chris Brockett
Ming-Wei Chang
W. Dolan
Jianfeng Gao
Wen-tau Yih
Michel Galley
BDL
103
573
0
07 Feb 2017
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
74
755
0
04 Mar 2016
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
97
2,328
0
20 Oct 2014
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering
  Recommenders via Optimal Design
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design
Oren Anava
Shahar Golan
Nadav Golbandi
Zohar Karnin
R. Lempel
Oleg Rokhlenko
O. Somekh
64
27
0
10 Jun 2014
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