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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Recommender Systems |
| Contents |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Recommender Systems | Code | 614G02044 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Fourth | Optional | 6 | ||||||||||
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| Topic | Sub-topic |
| Introduction | Recommender Systems |
| Preferences elicitation | Ratings, elicitation |
| Recommendation models | Collaborative filtering , content and hybrid |
| Evaluation of recommendation systems | Metrics and protocols |
| Advanced recommendation models | Contextual, social and temporal |
| Interpretability, justification and risks | User-to-user and Item-to-Item recommendations |
| Applications and domains | Tasks and use cases |
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