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...
| 第一著者: | |
|---|---|
| その他の著者: | |
| フォーマット: | Thesis-Master by Coursework |
| 言語: | English |
| 出版事項: |
Nanyang Technological University
2020
|
| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/140874 |