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 stars60.54%
- 4 stars29.62%
- 3 stars6.28%
- 2 stars1.77%
- 1 star1.77%
來自INTRODUCTION TO RECOMMENDER SYSTEMS: NON-PERSONALIZED AND CONTENT-BASED的熱門評論
I think I am on the right track to changing my career from java engineer from data scientist, this course is one of the best start point
Great intro to recommendation systems, the course is well structured and engaging to all students of different backgrounds.
Great introduction to Recommender systems. Really got me thinking about how I could apply them.
I am confused using Java for programming, it is better using python or R in the next course
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How does this course relate to the prior versions of "Introduction to Recommender Systems"?