Enhancing recommender systems by enrichment with pre- processing approaches supported by users\' feedback
Recommender systems use information about the users preferences to define scores of interests towards items. Regardless of the method, a noticeable problem is that the system is required to compute scores for a large amount of unknown items in the database, even though these items may not be related...
| Autor principal: | |
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| Formato: | doctoralThesis |
| Idioma: | eng |
| Publicado em: |
2019
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| Texto completo: | https://doi.org/10.11606/T.55.2020.tde-04022020-154009 |
| País: | Brasil |
| Oai: | oai:teses.usp.br:tde-04022020-154009 |