Learner Reviews & Feedback for Introduction to Recommender Systems: Non-Personalized and Content-Based by University of Minnesota
About the Course
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 addit...
Top reviews
YW
Nov 2, 2016
I think this is an amazing course for beginners who are interested in recommender systems, I strongly recommend this course to the students and engineers who are working on recommender systems.
BS
Feb 12, 2019
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.
51 - 75 of 137 Reviews for Introduction to Recommender Systems: Non-Personalized and Content-Based
By Francisco C
•Mar 20, 2017
Excelente curso, presenta una vista amplia de técnicas para la implementación de sistemas de recomendación, lo recomiendo totalmente.
By Abhijith R
•Aug 30, 2020
Great intro to recommendation systems, the course is well structured and engaging to all students of different backgrounds.
By Тефикова А Р
•Oct 5, 2016
Курс очень понравился, спасибо большое за такую уникальную возможность вникнуть в суть рекомендательных систем!
By Saurabh D
•Aug 13, 2023
Great course.
I would encourage the authors of the course to replace Java with Python in the Honors track
By Chris C
•Jul 6, 2021
Excellent content, great structured frameworks to understand when / why to use different recommenders
By Patrick D
•Jun 25, 2017
Great, thorough introduction with tracks for both Java programmers and non-programmers.
By Pankaj M
•Dec 20, 2022
Well designed introduction to the formal concepts and analysis of Recommender systems
By Kevin R
•Oct 8, 2017
Well-designed assignments and instructive programming exercises in the honors track.
By Ashwin R
•Jun 26, 2017
An excellent in-depth introduction into the concepts around recommendation systems!
By Santiago F
•Feb 1, 2021
Muy claro y de gran ayuda para los que se estén introduciendo en el tema.
By Xinzhi Z
•Jul 17, 2019
Great course. I really appreciated the efforts spent by the course team.
By 王涛
•Apr 10, 2019
Really Good! I think it will be helpful to me and take a job for me!
By Light0617
•Jul 18, 2017
great!! Let me better understand the research and practical fields!
By Sushmita B
•Jun 7, 2020
The course is very good and the course instructor is excellent .
By Luis D F R
•Apr 17, 2017
Really good course to get started with recommendation systems!
By Apurva D
•Aug 3, 2017
Awesome content...loved the industry expert interviews....
By Dan T
•Oct 31, 2017
great overview of the breadth of material to get started
By Sreenath A
•Jun 29, 2017
Excellent course taught in simple language.
By Biswa G S
•Mar 28, 2018
Good overview on the recommend-er system.
By Sherry L
•Nov 21, 2017
great professors and inspiring lectures!
By 王嘉奕
•Nov 6, 2019
Excellent course which helps me a lot.
By Su L
•Aug 23, 2019
great course, learnt a lot, thanks!
By Fernando C C
•Nov 7, 2016
pues esta bien chido el curso
By Son M
•Jan 19, 2019
good exercises & lectures
By BEBIN K R
•Sep 17, 2020
Wonderful experience