A Hybrid Model Based on Pre-trained Language Model and Graph Neural Networks for Scientific Paper Recommendation-Reference-Cited by-同舟云学术

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A Hybrid Model Based on Pre-trained Language Model and Graph Neural Networks for Scientific Paper Recommendation

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
language:
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Author:

Guan Suyang¹,Jiang Ting¹

Affiliation:

1. Nanjing University Of Finance And Economics,College of Information Engineering,Nanjing,Jiangsu,China,210023

Funder

Young Scientists Fund

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125291/10125300/10125455.pdf?arnumber=10125455

Reference33 articles.

1. The Architecture and Datasets of Docear's Research Paper Recommender System

2. Cross-domain item recommendation based on user similarity

3. Collaborative filtering by personality diagnosis: A hybrid memory-and model-based approach;pennock;arXiv preprint arXiv 1301 3885,2013

4. LightGCN

Cited by 1 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. Recommendations in Visual Analytics - An Analytical Approach for Elaboration in Science;2023 27th International Conference Information Visualisation (IV);2023-07-25

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