制作方:   University of Minnesota

  • Joseph A Konstan

    教学方:    Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor

    Computer Science and Engineering

  • Michael D. Ekstrand

    教学方:    Michael D. Ekstrand, Assistant Professor

    Dept. of Computer Science, Boise State University
Basic Info
Course 2 of 5 in the Recommender Systems Specialization.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.0 stars
Average User Rating 4.0See what learners said
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制作方
University of Minnesota
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评分和审阅
已评分 4,总共 5 个 27 评分

Awesome Professors!Great Material.Very thankful to Coursera for providing this course.

I love it. Would be cool to be able download all materials in one big .zip file (e.g for searching using grep) ;-)

Overall , it is a very interesting course.

But I would like to say , that there are too many interviews. I think that it is a little bit difficult for some non-native speaker to understand the main and important things from the interview, because some interviewers talked in a very loose way. So I would suggest our teacher , to summarize the main points of those interview in a better way .

Excellent course providing not only the knowledge of algorithms but also useful insights into developing and maintaining recommender systems. Only thing that could use some work is the assignments. Spreadsheet assignment in week 4 is poorly designed (as evidenced by many forum threads with people not knowing what is it that the authors actually want). Other than that, that was an extremely helpful course.