Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges
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1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada, --- Select a Country ---
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SCITEPRESS - Science and Technology Publications
Cited by 5 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. Siamese Neural Networks Approach to Hybrid Recommender System Modeling for Fostering Economic Growth in Fashion Domain;2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS);2023-12-14
2. Machine Learning Studies in Business During the COVID-19 Pandemic;Innovation Capabilities and Entrepreneurial Opportunities of Smart Working;2023-09-29
3. Dynamic recommendation algorithms for a COVID-19 restrictions scenario in the restaurant industry;Journal of Hospitality and Tourism Technology;2023-08-21
4. Customer Profiling Using Internet of Things Based Recommendations;Sustainability;2022-09-07
5. Enhanced Vaccine Recommender System to prevent COVID-19 based on Clustering and Classification;2021 International Conference on Engineering and Emerging Technologies (ICEET);2021-10-27
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