Chevron Left
返回到 Recommender Systems: Evaluation and Metrics

学生对 University of Minnesota 提供的 Recommender Systems: Evaluation and Metrics 的评价和反馈

4.4
235 个评分

课程概述

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....

热门审阅

LL

Jul 18, 2017

wonderful!!! They teach a lot what I did not expect!

MB

Dec 4, 2022

It was a great course! Everyone from variety of backgrounds like MS/PhD students or industry professionals that has basic Information Retrieval and ML knowledge could understand the course content.

筛选依据:

26 - Recommender Systems: Evaluation and Metrics 的 33 个评论(共 33 个)

创建者 Chris S

Jul 16, 2017

A lot of very in detail theories and metrics. I wish it could have more hands on experience.

创建者 Jim T

Apr 3, 2019

Loved the first part of the course where they introduced many relevant evaluation metrics (root mean square, Spearman, ROC, Precision/Recall, .etc). However, offline/online evaluations were vaguely explained and lacked depth. I really wish there were more concrete, written examples. The final quiz was abstract, weird, and difficult to understand.

创建者 Alex B

Aug 26, 2019

The first two weeks are fantastic, up until evaluation metrics stop being covered. After that nothing concrete is said and very little is to be learned. Skip after that.

创建者 llraphael

Jun 15, 2018

The computer assignment is lack of explanation.

创建者 LU W

Aug 23, 2018

Confused about some metrics.

创建者 Maxwell's D

Jan 15, 2018

In addition to the normal number of small errors here and there, the course has too many big errors in the honors track assignments, and no help in the forums. The course appears abandoned.

The videos don't appear to be completely edited, with places where the lecturer says "rewind, I'll start over" or "edit this part out." Also one lecturer in particular will stop mid-sentence as if he has lost the thread of what he was saying, and then finish the sentence with a non-sequitur.

I'm sure they understand the material, but the execution of the presentation is very rough, too rough to continue. I'm bailing out of the specialization after passing 3 courses 100% with honors.

创建者 Daniel P

Dec 23, 2017

The content is good, interesting but too short for 4 weeks course. Too little new information. The honor assignment was so far the worse. The documentation contain a lot of errors, the description was incomplete.

创建者 Siwei Y

Jul 3, 2017

这么点内容撑起四周的课程。我不知道课程组织者是怎么想的。Honor assigment 的说明里充斥着巨量的错误。 怀疑其内容没有更新, 依旧是那个旧版本。

Content is not enough for a 4-week course.

Honor assignment need to be updated. There are too many errors in the instruction .