Informações sobre o curso
4.3
112 classificações
19 avaliações
In this course you will learn how to evaluate recommender systems. You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decision-support, and other factors such as diversity, product coverage, and serendipity. You will learn how different metrics relate to different user goals and business goals. You will also learn how to rigorously conduct offline evaluations (i.e., how to prepare and sample data, and how to aggregate results). And you will learn about online (experimental) evaluation. At the completion of this course you will have the tools you need to compare different recommender system alternatives for a wide variety of uses....
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cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 7 hours/week

Aprox. 8 horas restantes
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English

Legendas: English
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 7 hours/week

Aprox. 8 horas restantes
Comment Dots

English

Legendas: English

Programa - O que você aprenderá com este curso

1

Seção
Clock
14 minutos para concluir

Preface

...
Reading
2 vídeos (Total de 14 min)
Video2 videos
The Goals of Evaluation10min
Clock
2 horas para concluir

Basic Prediction and Recommendation Metrics

...
Reading
5 vídeos (Total de 57 min), 1 leitura, 1 teste
Video5 videos
Prediction Accuracy Metrics12min
Decision Support Metrics16min
Rank-Aware Top-N Metrics18min
Assignment Intro Video2min
Reading1 leituras
Metric Computation Assignment Instructions10min
Quiz1 exercício prático
Basic Prediction and Recommendation Metrics Assignment42min

2

Seção
Clock
2 horas para concluir

Advanced Metrics and Offline Evaluation

...
Reading
6 vídeos (Total de 76 min), 1 leitura, 2 testes
Video6 videos
Additional Item and List-Based Metrics18min
Experimental Protocols13min
Unary Data Evaluation11min
Temporal Evaluation of Recommenders (Interview with Neal Lathia)12min
Programming Assignment Introduction8min
Reading1 leituras
Evaluating Recommenders10min
Quiz2 exercícios práticos
Offline Evaluation and Metrics Quiz22min
Programming Assignment Quiz28min

3

Seção
Clock
1 hora para concluir

Online Evaluation

...
Reading
4 vídeos (Total de 66 min), 1 teste
Video4 videos
Usage Logs and Analysis10min
A/B Studies (Field Experiments)11min
User-Centered Evaluation (Interview with Bart Knijnenburg)25min
Quiz1 exercício prático
Online Evaluation Quiz8min

4

Seção
Clock
1 hora para concluir

Evaluation Design

...
Reading
3 vídeos (Total de 31 min), 2 leituras, 1 teste
Video3 videos
Case Examples17min
Assignment Intro Video2min
Reading2 leituras
Intro to Assignment: Evaluation Design Cases10min
Quiz Debrief10min
Quiz1 exercício prático
Assignment: Evaluation Design Cases12min

Instrutores

Michael D. Ekstrand

Assistant Professor
Dept. of Computer Science, Boise State University

Joseph A Konstan

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

Sobre 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....

Sobre o Programa de cursos integrados 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

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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