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.
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- 5 stars60.48%
- 4 stars29.67%
- 3 stars6.29%
- 2 stars1.77%
- 1 star1.77%
INTRODUCTION TO RECOMMENDER SYSTEMS: NON-PERSONALIZED AND CONTENT-BASED의 최상위 리뷰
Great course. I have already been able to apply what I have learned to me job. Looking forward to the next one.
Well-designed assignments and instructive programming exercises in the honors track.
Please update the specialization, it's 2022, and the course slides are from 2016.
The course was easy to understand. but i find the slides not much of help.
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How does this course relate to the prior versions of "Introduction to Recommender Systems"?
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