Paulo Chiliguano
- Email:
- Registered on: 2015-06-23
- Last connection: 2024-01-21
Research description
Deep Learning, Recommender Systems
Institution
Queen Mary, University of London
Projects
- Hybrid music recommender Github (Manager, 2022-07-09)
- Hybrid music recommender using content-based and social information (Manager, Developer, Reporter, 2015-06-29)
Activity
Reported issues: 0
2022-07-09
- 06:50 AM Hybrid music recommender using content-based and social information Revision 47:b0186d4a4496: Move 7Digital dataset to Downloads
- 06:48 AM Hybrid music recommender using content-based and social information Revision 46:4f54cf33c9a1: Move Genre Classification dataset to Downloads
- 06:46 AM Hybrid music recommender using content-based and social information Revision 45:911381440190: Move Train dataset to Downloads
- 06:42 AM Hybrid music recommender using content-based and social information Revision 44:ce7f82c2686f: Move GTZAN to Downloads
- 7Digital features dataset
- Genre classification best parameters dataset
- Genre classification probability dataset
- GTZAN features part 2
- GTZAN features part 1
- GTZAN features part 3
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