Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Recommender Systems |
Contents |
Identifying Data | 2023/24 | |||||||||||||
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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