Teaching GuideTerm
Faculty of Computer Science
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Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Recommender Systems
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Identifying Data 2022/23
Subject (*) Recommender Systems Code 614G02044
Study programme
Grao en Ciencia e Enxeñaría de Datos
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Fourth Optional 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Coordinador
Parapar López, Javier
E-mail
javier.parapar@udc.es
Lecturers
Hasan Romero, Ismael
Parapar López, Javier
E-mail
ismael.hasan@udc.es
javier.parapar@udc.es
Web
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.
(*)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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