Recommendation systems based on extreme multi-label classification
This project aims to implement a recommender system using extreme multi-label classification algorithms. In the era of big data, traditional recommender systems are unable to keep up with the scale and size of data available. Extreme multi-label classification can tag a given target with multiple la...
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| Formato: | Final Year Project (FYP) |
| Idioma: | English |
| Publicado em: |
Nanyang Technological University
2021
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| Acesso em linha: | https://hdl.handle.net/10356/149716 |