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...
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| Format: | doctoralThesis |
| Language: | eng |
| Published: |
2019
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| Online Access: | https://doi.org/10.11606/T.55.2020.tde-04022020-154009 |
| Country: | Brazil |
| Oai: | oai:teses.usp.br:tde-04022020-154009 |