University Project: Compare similarity of two data sets
Hello everyone,
for a university project in the 1st semester we want to match data from lecture notes with appropriate Udemy courses.
We have already done the crawling of the lecture contents and the Udemy courses.
Now the questions would be, which procedure would be the best for us. How can the "best" or most suitable courses be determined? We would also like to include the price of the course and the number of evaluations with our scoring model.
Now the questions would be, which procedure would be the best for us. How can the "best" or most suitable courses be determined? We would also like to include the price of the course and the number of evaluations with our scoring model.
Best regards
Patrick
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This is a fairly open-ended question. You could start by doing some text processing and then compute similarities or cross-distances. Or you could try to do some unsupervised learning around clustering.
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