课程信息
4.3
113 个评分
19 个审阅
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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100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

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Clock

Approx. 8 hours to complete

建议:7 hours/week...
Comment Dots

English

字幕:English...
Stacks
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Clock

Approx. 8 hours to complete

建议:7 hours/week...
Comment Dots

English

字幕:English...

教学大纲 - 您将从这门课程中学到什么

Week
1
Clock
完成时间为 14 分钟

Preface

...
Reading
2 个视频(共 14 分钟)
Video2 个视频
The Goals of Evaluation10分钟
Clock
完成时间为 2 小时

Basic Prediction and Recommendation Metrics

...
Reading
5 个视频(共 57 分钟), 1 个阅读材料, 1 个测验
Video5 个视频
Prediction Accuracy Metrics12分钟
Decision Support Metrics16分钟
Rank-Aware Top-N Metrics18分钟
Assignment Intro Video2分钟
Reading1 个阅读材料
Metric Computation Assignment Instructions10分钟
Quiz1 个练习
Basic Prediction and Recommendation Metrics Assignment42分钟
Week
2
Clock
完成时间为 2 小时

Advanced Metrics and Offline Evaluation

...
Reading
6 个视频(共 76 分钟), 1 个阅读材料, 2 个测验
Video6 个视频
Additional Item and List-Based Metrics18分钟
Experimental Protocols13分钟
Unary Data Evaluation11分钟
Temporal Evaluation of Recommenders (Interview with Neal Lathia)12分钟
Programming Assignment Introduction8分钟
Reading1 个阅读材料
Evaluating Recommenders10分钟
Quiz2 个练习
Offline Evaluation and Metrics Quiz22分钟
Programming Assignment Quiz28分钟
Week
3
Clock
完成时间为 1 小时

Online Evaluation

...
Reading
4 个视频(共 66 分钟), 1 个测验
Video4 个视频
Usage Logs and Analysis10分钟
A/B Studies (Field Experiments)11分钟
User-Centered Evaluation (Interview with Bart Knijnenburg)25分钟
Quiz1 个练习
Online Evaluation Quiz8分钟
Week
4
Clock
完成时间为 1 小时

Evaluation Design

...
Reading
3 个视频(共 31 分钟), 2 个阅读材料, 1 个测验
Video3 个视频
Case Examples17分钟
Assignment Intro Video2分钟
Reading2 个阅读材料
Intro to Assignment: Evaluation Design Cases10分钟
Quiz Debrief10分钟
Quiz1 个练习
Assignment: Evaluation Design Cases12分钟

讲师

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

关于 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....

关于 Recommender Systems 专项课程

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

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