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HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce

  • Published:2022-11 Issue: Volume:255 Page:109674
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Li ZhiORCID,Amagata Daichi,Zhang Yihong,Maekawa Takuya,Hara Takahiro,Yonekawa Kei,Kurokawa Mori

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference61 articles.

1. Billion-scale commodity embedding for E-commerce recommendation in Alibaba;Wang,2018

2. Wide & deep learning for recommender systems;Cheng,2016

3. Reverse maximum inner product search: How to efficiently find users who would like to buy my item?;Amagata,2021

4. Virtual touch-point: Trans-domain behavioral targeting via transfer learning;Kurokawa,2018

5. Trends-enhanced attention & memory networks for E-commerce recommendation;Li,2022

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2. Privacy-preserving cross-domain recommendation using hybrid federated transfer learning;Multimedia Tools and Applications;2024-07-15

3. Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. An Accuracy Study of Personalized Recommendation System for E-commerce Based on Big Data Analysis;Applied Mathematics and Nonlinear Sciences;2024-01-01

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