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MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive
  Model Selection

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection

22 January 2020
Mi Luo
Fei Chen
Pengxiang Cheng
Zhenhua Dong
Xiuqiang He
Jiashi Feng
Zhenguo Li
ArXivPDFHTML

Papers citing "MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection"

7 / 7 papers shown
Title
Towards a Theoretical Understanding of Two-Stage Recommender Systems
Towards a Theoretical Understanding of Two-Stage Recommender Systems
Amit Kumar Jaiswal
34
2
0
23 Feb 2024
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
Federated learning: Applications, challenges and future directions
Federated learning: Applications, challenges and future directions
Subrato Bharati
Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
FedML
39
53
0
18 May 2022
Learning to Learn a Cold-start Sequential Recommender
Learning to Learn a Cold-start Sequential Recommender
Xiaowen Huang
Jitao Sang
Jian Yu
Changsheng Xu
DiffM
CLL
OffRL
24
22
0
18 Oct 2021
Cross-Market Product Recommendation
Cross-Market Product Recommendation
Hamed Bonab
Mohammad Aliannejadi
Ali Vardasbi
Evangelos Kanoulas
James Allan
25
51
0
13 Sep 2021
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
28
57
0
22 Dec 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
389
11,700
0
09 Mar 2017
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