Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
Author:
Affiliation:
1. Computer Engineering, Istanbul Technical University, Turkey
2. Artifical Intelligence and Data Engineering, Istanbul Technical University, Turkey
3. Computer Engineering, Gazi University, Turkey
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3674029.3674069
Reference35 articles.
1. 2023. WSDM Cup on Cross-Market Recommendation Competition Dataset. Retrieved October 01, 2023 from https://xmrec.github.io/wsdmcup/
2. Scientific Paper Recommendation: A Survey
3. Cross-Market Product Recommendation
4. Zeyuan Chen He Wang Xiangyu Zhu Haiyan Wu Congcong Gu Shumeng Liu Jinchao Huang and Wei Zhang. 2022. A Practical Two-stage Ranking Framework for Cross-market Recommendation. https://doi.org/10.48550/ARXIV.2204.12682
5. Wenqi Fan Yao Ma Qing Li Yuan He Eric Zhao Jiliang Tang and Dawei Yin. 2019. Graph Neural Networks for Social Recommendation. https://doi.org/10.48550/ARXIV.1902.07243
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