Teaching GuideTerm Faculty of Computer Science |
Guía Provisional |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Recommender Systems |
Identifying Data | 2024/25 | |||||||||||||
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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Teaching method | Face-to-face | |||||||||||||
Prerequisites | ||||||||||||||
Department | Ciencias da Computación e Tecnoloxías da Información |
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Coordinador |
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General description | Recommendation systems are used in a variety of areas, with commonly recognized examples taking the form of playlist generators for video and music services, product advocates for online stores, or content advocates for social media platforms, and advocacy advocates. open web content. By the end of this course, you should be able to identify potential application domains for recommendation systems, design recommendation systems, identify potential strengths and weaknesses of a recommendation model, and compare design alternatives. | |||||||||||||
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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