Acerca de este Curso
4.3
162 calificaciones
42 revisiones
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Horas para completar

Aprox. 13 horas para completar

Sugerido: 9 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Horas para completar

Aprox. 13 horas para completar

Sugerido: 9 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
13 minutos para completar

Preface

Note that this course is structured into two-week chunks. The first chunk focuses on User-User Collaborative Filtering; the second chunk on Item-Item Collaborative Filtering. Each chunk has most of the lectures in the first week, and assignments/quizzes and advanced topics in the second week. We encourage learners to treat each two-week chunk as one unit, starting the assignments as soon as they feel they have learned enough to get going....
Reading
1 video (Total 3 min), 1 reading
Video1 video
Reading1 lectura
Course Structure Outline10m
Horas para completar
1 hora para completar

User-User Collaborative Filtering Recommenders Part 1

...
Reading
5 videos (Total 85 min)
Video5 videos
Configuring User-User Collaborative Filtering9m
Influence Limiting and Attack Resistance; Interview with Paul Resnick21m
Trust-Based Recommendation; Interview with Jen Golbeck15m
Impact of Bad Ratings; Interview with Dan Cosley13m
Semana
2
Horas para completar
5 horas para completar

User-User Collaborative Filtering Recommenders Part 2

...
Reading
2 videos (Total 13 min), 2 readings, 3 quizzes
Video2 videos
Programming Assignment - Programming User-User Collaborative Filtering4m
Reading2 lecturas
Assignment Instructions: User-User CF10m
Introducing User-User CF Programming Assignment10m
Quiz2 ejercicios de práctica
User-User CF Answer Sheet48m
User-User Collaborative Filtering Quiz20m
Semana
3
Horas para completar
1 hora para completar

Item-Item Collaborative Filtering Recommenders Part 1

...
Reading
6 videos (Total 70 min)
Video6 videos
Item-Item Algorithm16m
Item-Item on Unary Data6m
Item-Item Hybrids and Extensions4m
Strengths and Weaknesses of Item-Item Collaborative Filtering9m
Interview with Brad Miller16m
Semana
4
Horas para completar
4 horas para completar

Item-Item Collaborative Filtering Recommenders Part 2

...
Reading
2 videos (Total 10 min), 2 readings, 5 quizzes
Video2 videos
Programming Assignment - Programming Item-Item Collaborative Filtering4m
Reading2 lecturas
Item-Based CF Assignment Instructions10m
Introducing Item-Item CF Programming Assignment10m
Quiz4 ejercicios de práctica
Item Based Assignment Part l10m
Item Based Assignment Part II10m
Item Based Assignment Part III10m
Item Based Assignment Part IV10m
Horas para completar
2 horas para completar

Advanced Collaborative Filtering Topics

...
Reading
5 videos (Total 73 min), 1 quiz
Video5 videos
Recommending for Groups: Interview with Anthony Jameson14m
Threat Models11m
Explanations16m
Explanations, Part II: Interview with Nava Tintarev17m
Quiz1 ejercicio de práctica
Item-Based and Advanced Collaborative Filtering Topics Quiz20m
4.3
42 revisionesChevron Right

Principales revisiones

por NRFeb 4th 2018

Extremely informative course! It would be great if the assignments are created on python or R in the next season's offering. Thanks for the knowledge!

por ARAug 4th 2017

Awesome as always, Joe and Michael rock. The interview with Brad Miller was stellar, felt like listening to the legends of rock-n-roll!

Instructores

Avatar

Joseph A Konstan

Distinguished McKnight Professor and Distinguished University Teaching Professor
Computer Science and Engineering
Avatar

Michael D. Ekstrand

Assistant Professor
Dept. of Computer Science, Boise State University

Acerca de University of Minnesota

The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations....

Acerca del programa especializado Recommender Systems

This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative techniques. Designed to serve both the data mining expert and the data literate marketing professional, the courses offer interactive, spreadsheet-based exercises to master different algorithms along with an honors track where learners can go into greater depth using the LensKit open source toolkit. A Capstone Project brings together the course material with a realistic recommender design and analysis project....
Recommender Systems

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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