学生对 University of Minnesota 提供的 Introduction to Recommender Systems: Non-Personalized and Content-Based 的评价和反馈
课程概述
热门审阅
YW
Nov 2, 2016
I think this is an amazing course for beginners who are interested in recommender systems, I strongly recommend this course to the students and engineers who are working on recommender systems.
BS
Feb 12, 2019
One of the best courses I have taken on Coursera. Choosing Java for the lab exercises makes them inaccessible for many data scientists. Consider providing a Python version.
126 - Introduction to Recommender Systems: Non-Personalized and Content-Based 的 138 个评论(共 138 个)
创建者 Jongsu K
•Feb 24, 2025
The video quality being still 720p is disappointing and seems to need an update. Also, having the honor grade assignment in Java is too outdated. Moreover, it doesn’t run on recent versions of Java, so you have to set up a virtual environment to get it working. Lenskit Java has been deprecated, and nowadays only Python is being developed.
创建者 Dawid L
•Jun 28, 2023
Lectures were Ok. Might benefit from more visual ques.
However, I strongly didn't how assignments were presented. They were ordered so that someone will start reading and completing them, and once that's done, the next few "modules" are about explaining what will be done in the assignment. That's both for normal and honor track.
创建者 Sachin S
•Oct 30, 2016
I expected a lot from this course but it could have been a lot better - lengthy videos, not trying to explain the concepts in an understandable ways. Ended up confusing with various interviews and what are differences between various content based recommenders. The programming exercises were good and provided a good overview.
创建者 Aditya C
•Jul 21, 2024
Please re-update the course to be flexible to current data scientists. I could not do the honors unit because of my current java version which was incompatible with the gradle format given by the honors content. Perhaps switch to Python
创建者 Paulo E d V
•Dec 8, 2016
Ok, it's an introduction, but it could at least show us some math or pseudocodes. A part from that, the course is really awesome. Well structured classes, good explanations and incredible interviews
创建者 Yan F
•Sep 19, 2021
The course was generally ok, but can benefit from better lecture structure. For example, the general topic can move upfront, with more mathematical illustration on how content filtering is done.
创建者 Ruth B
•Aug 13, 2017
Not bad for an introduction, but I would have prefered it to be more technical
创建者 Lucas B
•Sep 4, 2019
Was expecting programming activities in Python or R, not in Java =/
创建者 Kevin J A D
•Jan 28, 2022
The core lectures are really good, the honours track is outdated.
创建者 Priyamvada S
•Dec 6, 2021
doesnt cover collaborative; rest is fine
创建者 박민혜 / 학 / 데
•Feb 26, 2020
수학개념이 부족해서 조금 추상적으로 이해하게 되었습니다.
创建者 Leonardo R
•Dec 26, 2023
The content itself is great, but the course is outdated and kept without a proper maintenance staff to answer the discussion forum. The course should have moved to Python instead of Java. Some videos have sound issues.
创建者 Roman O
•Nov 5, 2021
Bad, pretty bad. Too theoretical. I've got felling all the time that a LOT of terms I hearing first time and felling that they was spoken somewhere else, but not here. It is horrible frankenstein of scattered knowledge that lectors pretended to call a 'cource'. I've got more knowledge just from reading few chapters on recomendation systems book, than listening to this.