El MOOC “Fundamentos de sistemas recomendadores” tiene como propósito que los estudiantes conozcan los principales conceptos asociados a estos sistemas, así como su evolución histórica. Se enseñarán las principales técnicas de recomendación, como son el filtrado colaborativo y el filtrado basado en contenido. Adicionalmente, se espera que los estudiantes conozcan y apliquen diversas métricas de evaluación que les permitan evaluar diferentes dimensiones de los sistemas de recomendación.
Fundamentos de sistemas recomendadores
Fundamentos de sistemas recomendadores
Taught in Spanish
Intermediate level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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Assessments
4 quizzes, 4 assignments
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There are 6 modules in this course
¡Bienvenidos y bienvenidas! Este curso tiene como propósito entregar los fundamentos de los sistemas de recomendación desde el punto de vista de entender el problema de recomendación personalizada, así como conocer y utilizar métodos y de métricas de evaluación.
What's included
1 video1 reading
En este módulo aprenderás qué es un sistema de recomendación a partir de definiciones y ejemplos, veremos diferentes tipos de sistemas de recomendación e introduciremos cómo hacer recomendación no personalizada.
What's included
3 videos1 reading1 quiz1 assignment
En este módulo aprenderás qué es el filtrado colaborativa, diferentes versiones como la basada en usuarios y la basada en ítems, así como la técnica pendiente uno.
What's included
4 videos1 reading1 quiz1 assignment
En este módulo aprenderás sobre la recomendación basada en contenido, cómo usar descripciones textuales para recomendar y cómo evaluar un sistema de recomendación usando métricas de ranking.
What's included
4 videos2 readings1 quiz1 assignment
En este módulo aprenderás sobre métodos latentes, su relación con factorización matricial y cómo usarla para predecir ratings y hacer recomendaciones.
What's included
4 videos1 reading1 quiz1 assignment
Les queremos agradecer el habernos acompañado en el curso. Esperamos que los contenidos abordados sean un real aporte en tu carrera profesional /laboral.
What's included
1 video1 reading1 plugin
Instructor
Offered by
Recommended if you're interested in Algorithms
Universidad Austral
Universidad de los Andes
Universidad de Palermo
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