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.
- 5 stars60.76%
- 4 stars29.50%
- 3 stars6.22%
- 2 stars1.75%
- 1 star1.75%
來自INTRODUCTION TO RECOMMENDER SYSTEMS: NON-PERSONALIZED AND CONTENT-BASED的熱門評論
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).
Please update the specialization, it's 2022, and the course slides are from 2016.
Well-designed assignments and instructive programming exercises in the honors track.
As a software engineer with computer science background I found that course enhancing my knowledge. I'm going to continue the specialization.
關於 推荐系统 專項課程
How does this course relate to the prior versions of "Introduction to Recommender Systems"?