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I built a document recommendation project as part of a course, wrote it in python using the term-frequency inverse document frequency (TF-IDF) formula. It's act
by Topgamer7 8y ago
I built a document recommendation project as part of a course, wrote it in python using the term-frequency inverse document frequency (TF-IDF) formula. It's actually a pretty straight forward method for recommending similar documents based on content.
https://github.com/ElementalWarrior/LearningAnalytics https://github.com/ElementalWarrior/LearningAnalytics
- theknight 8y agoThanks for sharing the repo. Was the course on recommender system or just a CS course and you chose to build a recommender system?
- Topgamer7 8y agoThe course had a section on it, it also covered things such as Bayes nets, it was basically a precursor course for machine learning. I chose to build the document recommendation project as my final project. https://people.ok.ubc.ca/bowenhui/analytics/ https://people.ok.ubc.ca/bowenhui/analytics/