Recommender Systems
Evaluation and Metrics
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Rating | 3.9★ based on 24 ratings |
---|---|
Length | 5 weeks |
Starts | Jun 26 (47 weeks ago) |
Cost | $79 |
From | University of Minnesota via Coursera |
Instructors | Michael D. Ekstrand, Joseph A Konstan |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Business Programming |
Tags | Data Science Business Marketing Machine Learning |
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What people are saying
recommender system
Having faced a very similar problem evaluating a recommender system for a legal document search/suggestion engine (like Google News for lawyers), this gave me a proper "birds eye" perspective on that problem that I wish I had before.
I find myselt in a situation where I need to evaluate a recommender system I developed, and the topics and material discussed throughout the course gave me many insights.
recommender systems
Can not be recommended as a first and only introduction to a topic of an evaluation and metrics of recommender systems.
nice to learn excel statistic This course was very helpful for giving me a breadth of exposure to various ways to look at evaluating recommender systems.
The course is interesting because it makes you ask the right questions about recommender systems design.
If you are new to Recommender Systems evaluation, and would like to first know why we do what we do in evaluating a recommender system, go for this course!
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evaluation metrics
We faced exactly the same problem you describe of finding the proper tradeoff between precision and recall, or search vs. discovery.BUT what is lacking here is teaching us how to go implement these different evaluation metrics in practice.
Loved the first part of the course where they introduced many relevant evaluation metrics (root mean square, Spearman, ROC, Precision/Recall, .etc).
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different metrics
If you had run us through problem set/assignments involving real-world situations like this, where we had to calculate these different metrics (given sample data) and come up with compelling cases for different metrics to use for evaluation, I would feel otherwise.That said thank you for your hard work putting the course/specialization together.
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Rating | 3.9★ based on 24 ratings |
---|---|
Length | 5 weeks |
Starts | Jun 26 (47 weeks ago) |
Cost | $79 |
From | University of Minnesota via Coursera |
Instructors | Michael D. Ekstrand, Joseph A Konstan |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Business Programming |
Tags | Data Science Business Marketing Machine Learning |
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