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学生对 明尼苏达大学 提供的 Nearest Neighbor Collaborative Filtering 的评价和反馈

4.3
294 个评分
66 条评论

课程概述

In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First you will learn user-user collaborative filtering, an algorithm that identifies other people with similar tastes to a target user and combines their ratings to make recommendations for that user. You will explore and implement variations of the user-user algorithm, and will explore the benefits and drawbacks of the general approach. Then you will learn the widely-practiced item-item collaborative filtering algorithm, which identifies global product associations from user ratings, but uses these product associations to provide personalized recommendations based on a user's own product ratings....

热门审阅

NS
Dec 11, 2019

i found this course very helpful and informative. it explains the theory while providing real-world examples on recommender systems. the assignment helps in clearing up any confusion with the material

SS
Mar 30, 2019

Thank you so very much to open my eye see more view of recommendation field not only algorithms but use case and many trouble-shooting in worldwide business, moreover interview with noble professor.

筛选依据:

51 - Nearest Neighbor Collaborative Filtering 的 66 个评论(共 66 个)

创建者 Daniel P

Dec 8, 2017

Rather non-technical, interesting general information, plus voluntary programming assignment which I personally found little bit "bulky". More effort I spent to get familiar with the library than to actually use the collaborative filtering algorithms.

创建者 Dan T

Nov 23, 2017

I liked the course, assignment two for item item was so much harder than the user user piece. I really spent all my time fighting excel, rather that working on the problem. it would have been easier to program it in lenskit!

创建者 Gui M T

Apr 1, 2019

Much better than the first course, covers more interesting algorithms in more depth. The assignments can be clearer instructions. I also wish the lectures cover actual mathematical examples to work us through the algorithms

创建者 Dhananjay G

Feb 2, 2020

I found this course very informative and clears lot of concept in Item based and used based collaborative filtering. Spreadsheet assignment helped me to clearly understand the algorithms.

创建者 Edgar M

Oct 25, 2016

Very good content ! Very interesting interviews with expert in the field that shows real examples. However the exercise needs a bit more work to be very useful.

创建者 Matheus H d C Z

Feb 17, 2020

The last week assignments were really poor explained. There were no examples or clearly what to do.

创建者 Dino A

Oct 24, 2016

I think this is very useful for introductory, but it lacks some references for who wants go deeper.

创建者 maria j S

Dec 3, 2019

Overall good, except for assignment 2 which was poorly explained on one of the parts

创建者 Siddhartha S B

May 15, 2020

Excel coursework is good, evaluations are not that good.

创建者 H M

Jul 21, 2021

課題が求めていることが課題の説明文だけからではわかりにくく、無駄な時間を過ごさなければならないときがある。

创建者 Jean-Paul R

Jul 19, 2021

Very good course, but the quiz on Week 4 is unclear

创建者 Elias A H

Aug 28, 2017

The content of the course is actually great, the assignments are a bit challenging which was very interesting. I've learned a lot.

Nevertheless, I didn't enjoy the course much because the support to the course which is inexistent, forum's are almost empty. If you answer a question, you have maybe 1% chance to get an answer from someone, if you open a discussion, it ends up being a monologue...

创建者 VenusW

Jan 27, 2021

Very great course content.

However, no example show the computation work.

Assignment instruction is too vague, has no updates for years, have to look through explanation on Discussion Forum, wasted a lot of time and still no clue...

创建者 Yiwen X

Jul 23, 2020

Good content, but the slides can be more concise

创建者 PRATIK K C

Jun 1, 2020

Waiting to see assignments in Python.

创建者 Chunyang S

Feb 24, 2017

The content is too basic, and both lectures are too boring.