HIN embedding learning by aspect for recommendation systems
Network representation learning is a graph-based machine learning task, and its applications have gradually spread throughout our daily lives. Its goal is to represent nodes of the network as vectors which are low-dimensional dense. And then use low- dimensional vectors to solve subsequent machine l...
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格式: | Thesis-Master by Coursework |
語言: | English |
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Nanyang Technological University
2020
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在線閱讀: | https://hdl.handle.net/10356/140874 |
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機構: | Nanyang Technological University |
語言: | English |