Self Hyper-parameter Tuning for Stream Recommendation Algorithms
E-commerce platforms explore the interaction between users and digital content – user generated streams of events – to build and maintain dynamic user preference models which are used to make meaningful recommendations. However, the accuracy of these incremental models is critically affected by the...
| Autor principal: | |
|---|---|
| Outros Autores: | , , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2019
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/12954 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/12954 |