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
Gain insight into a topic and learn the fundamentals.
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
Shareable certificate
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Assessments
8 assignments
Taught in Spanish
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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 reading2 assignments
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 reading2 assignments
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 readings2 assignments
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 reading2 assignments
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
Coursera Project Network
Universidad Austral
Pontificia Universidad Católica del Perú
Banco Interamericano de Desarrollo
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