Recommender Systems:  Evaluation and Metrics
list 4个序列
assignment 等级:入门
chat_bubble_outline 语言 : 英语
card_giftcard 1点
Logo My Mooc Business

他们选择Edflex来发展业务技能。

了解更多
评论
-
starstarstarstarstar
0 条点评

关键信息

credit_card 免费进入
verified_user 收费证书

关于内容

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.

more_horiz 查看更多
more_horiz 收起
dns

课程大纲

  • Week 1 - Preface
     
  • Week 1 - Basic Prediction and Recommendation Metrics
     
  • Week 2 - Advanced Metrics and Offline Evaluation
     
  • Week 3 - Online Evaluation
     
  • Week 4 - Evaluation Design
     
record_voice_over

教师

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

store

内容设计师

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.
assistant

平台

Coursera

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

你是这个MOOC的设计者?
您对这门课的评价是 ?
内容
5/5
平台
5/5
动画
5/5