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Cold-start Sequential Recommendation via Meta Learner

Cold-start Sequential Recommendation via Meta Learner

AAAI Conference on Artificial Intelligence (AAAI), 2020
10 December 2020
Yujia Zheng
Siyi Liu
Zekun Li
Shu Wu
ArXiv (abs)PDFHTML

Papers citing "Cold-start Sequential Recommendation via Meta Learner"

13 / 13 papers shown
TriMat: Context-aware Recommendation by Tri-Matrix Factorization
TriMat: Context-aware Recommendation by Tri-Matrix Factorization
Hao Wang
158
0
0
30 Sep 2025
BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling
BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling
Jiahui Gong
Jingtao Ding
Fanjin Meng
Chen Yang
Hong Chen
Zuojian Wang
Haisheng Lu
Yong Li
241
1
0
23 May 2025
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Xiaokun Zhang
Bo Xu
Chenliang Li
Bowei He
Hongfei Lin
Chen Ma
Fenglong Ma
351
8
0
18 May 2025
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Online Item Cold-Start Recommendation with Popularity-Aware Meta-LearningKnowledge Discovery and Data Mining (KDD), 2024
Yihao Luo
Yuezihan Jiang
Yinjie Jiang
Gaode Chen
Jiadong Wang
Kaigui Bian
Peiyi Li
Qi Zhang
363
12
0
18 Nov 2024
Inductive Generative Recommendation via Retrieval-based Speculation
Inductive Generative Recommendation via Retrieval-based Speculation
Yijie Ding
Jiacheng Li
Julian McAuley
Yupeng Hou
248
16
0
03 Oct 2024
Cold-start Recommendation by Personalized Embedding Region Elicitation
Cold-start Recommendation by Personalized Embedding Region Elicitation
Hieu Trung Nguyen
Duy Nguyen
Khoa D. Doan
Viet Anh Nguyen
273
1
0
03 Jun 2024
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for
  Enhanced Item Recommendation
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Jiazheng Jing
Yinan Zhang
Xin Zhou
Zhiqi Shen
AI4TS
331
11
0
17 Aug 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for
  Recommendation and Text Generation
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text GenerationNeural Information Processing Systems (NeurIPS), 2023
Wei Jin
Haitao Mao
Zheng Li
Haoming Jiang
Cheng-hsin Luo
...
Suhang Wang
Luke Huan
Shucheng Zhou
Bing Yin
Xianfeng Tang
AI4TS
363
64
0
19 Jul 2023
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start
  Recommendation
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Minchang Kim
Yongjin Yang
Jung Hyun Ryu
Taesup Kim
OffRL
215
11
0
28 Feb 2023
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and
  Cold-start free Session-based Recommendations
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based RecommendationsACM Conference on Recommender Systems (RecSys), 2022
Walid Shalaby
Sejoon Oh
Amir Afsharinejad
Srijan Kumar
Xiquan Cui
340
33
0
23 Sep 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task
  Learning with Preference Graph Embeddings
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph EmbeddingsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Cheng-Te Li
Cheng-Mao Hsu
Yang Zhang
FaML
260
45
0
30 Apr 2022
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation
CMML: Contextual Modulation Meta Learning for Cold-Start RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2021
Xidong Feng
Chong Chen
Dong Li
Mengchen Zhao
Jianye Hao
Jun Wang
OffRL
305
31
0
24 Aug 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Baoquan Zhang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
218
46
0
26 Mar 2021
1
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