Now, this is the first time I've "engaged" in learning about recommendation system, but my mind is always pondering about ways to introduce these concepts to high school students.
- Recommendation systems use a correlation score (eg. Pearson's correlation, Euclidean distance) to determine similar users.
- Problem Solving: explain the algorithm used to determine correlation (likeness). Give the students a sample data set. Ask them to determine which users have the highest correlation.
- We can then take it a few steps further, having the students create a "recommendation system" by hand and requiring them to determine the best method of correlation and answering some critical thinking questions.
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