13 lines
1023 B
Markdown
13 lines
1023 B
Markdown
- full-title:: [Data science for next-generation recommender systems](https://omnivore.app/me/s-41060-023-00404-w-18ac7cbb212)
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site:: [link.springer.com](https://link.springer.com/content/pdf/10.1007/s41060-023-00404-w.pdf)
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author:: Shoujin Wang
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labels:: [[ResearchPaper]] [[P1]] [[recsys]]
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date-saved:: [[24-09-2023]]
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source:: [[Omnivore]]
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state:: [[Reading]]
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- collapsed:: true
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* ### Highlights
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collapsed:: true
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- > Data science has been the foundation of recommender systems for a long time [⤴️](https://omnivore.app/me/s-41060-023-00404-w-18ac7cbb212#cfd7078e-db00-44f3-b27e-8f2af0122401)
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- > various recommender systems have been developed using different data science and machine learning methodologies and techniques [⤴️](https://omnivore.app/me/s-41060-023-00404-w-18ac7cbb212#c0f64226-c49b-4b65-a681-290585565139)
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- > relationships between data science and recommender systems [⤴️](https://omnivore.app/me/s-41060-023-00404-w-18ac7cbb212#0adf6ccd-aa33-472e-8682-64a2cf693a60) |