Using Social Media Background to Improve Cold-Start Recommendation Deep Models-Reference-Cited by-同舟云学术

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Using Social Media Background to Improve Cold-Start Recommendation Deep Models

Published:2021-07-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Joint Conference on Neural Networks (IJCNN)
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Author:

Zhang Yihong,Maekawa Takuya,Hara Takahiro

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9533266/9533267/09534327.pdf?arnumber=9534327

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating Social Environment in Machine Learning Model for Debiased Recommendation;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. Addressing cold start in recommender systems with neural networks: a literature survey;International Journal of Computers and Applications;2023-07-25

3. Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs;ACM Transactions on Knowledge Discovery from Data;2023-04-14

4. Explainable Integration of Social Media Background in a Dynamic Neural Recommender;ACM Transactions on Knowledge Discovery from Data;2023-02-22

5. Generalized durative event detection on social media;Journal of Intelligent Information Systems;2022-07-29

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