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Introduction to Recommender Systems: Non-Personalized and Content-Based に戻る

ミネソタ大学(University of Minnesota) による Introduction to Recommender Systems: Non-Personalized and Content-Based の受講者のレビューおよびフィードバック

4.5
601件の評価
125件のレビュー

コースについて

This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations. After completing this course, you will be able to compute a variety of recommendations from datasets using basic spreadsheet tools, and if you complete the honors track you will also have programmed these recommendations using the open source LensKit recommender toolkit. In addition to detailed lectures and interactive exercises, this course features interviews with several leaders in research and practice on advanced topics and current directions in recommender systems....

人気のレビュー

BS
2019年2月12日

One of the best courses I have taken on Coursera. Choosing Java for the lab exercises makes them inaccessible for many data scientists. Consider providing a Python version.

DP
2017年12月7日

Nice introduction to recommender systems for those who have never heard about it before. No complex mathematical formula (which can also be seen by some as a downside).

フィルター:

Introduction to Recommender Systems: Non-Personalized and Content-Based: 51 - 75 / 123 レビュー

by Abhijith R

2020年8月30日

Great intro to recommendation systems, the course is well structured and engaging to all students of different backgrounds.

by Тефикова А Р

2016年10月5日

Курс очень понравился, спасибо большое за такую уникальную возможность вникнуть в суть рекомендательных систем!

by Chris C

2021年7月6日

Excellent content, great structured frameworks to understand when / why to use different recommenders

by Patrick D

2017年6月25日

Great, thorough introduction with tracks for both Java programmers and non-programmers.

by Kevin R

2017年10月8日

Well-designed assignments and instructive programming exercises in the honors track.

by Ashwin R

2017年6月26日

An excellent in-depth introduction into the concepts around recommendation systems!

by Santiago F

2021年2月1日

Muy claro y de gran ayuda para los que se estén introduciendo en el tema.

by Xinzhi Z

2019年7月17日

Great course. I really appreciated the efforts spent by the course team.

by 王涛

2019年4月10日

Really Good! I think it will be helpful to me and take a job for me!

by Light0617

2017年7月18日

great!! Let me better understand the research and practical fields!

by Sushmita B

2020年6月7日

The course is very good and the course instructor is excellent .

by Luis D F R

2017年4月17日

Really good course to get started with recommendation systems!

by Apurva D

2017年8月3日

Awesome content...loved the industry expert interviews....

by Dan T

2017年10月31日

great overview of the breadth of material to get started

by Sreenath A

2017年6月30日

Excellent course taught in simple language.

by Biswa s

2018年3月28日

Good overview on the recommend-er system.

by Sherry L

2017年11月21日

great professors and inspiring lectures!

by 王嘉奕

2019年11月6日

Excellent course which helps me a lot.

by Su L

2019年8月23日

great course, learnt a lot, thanks!

by Fernando C

2016年11月7日

pues esta bien chido el curso

by Mai H S

2019年1月19日

good exercises & lectures

by BEBIN K R

2020年9月17日

Wonderful experience

by Julia E

2017年11月8日

Thank you very much!

by sagar s

2018年10月4日

Awesome. Worth it!

by Garvit G

2018年3月22日

awesome course.