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Course Helper: A Course Recommendation System

Course Helper: A Course Recommendation System. Fred Wulff. The Problem. Axess stinks We’d like to do better - do the whole Amazon thing, and help people find and discover Couple of issues interesting from a data mining perspective. Data Extraction. Axess

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Course Helper: A Course Recommendation System

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  1. Course Helper: A Course Recommendation System Fred Wulff

  2. The Problem • Axess stinks • We’d like to do better - do the whole Amazon thing, and help people find and discover • Couple of issues interesting from a data mining perspective

  3. Data Extraction • Axess • After spidering it, you end up with “interesting” web pages • “Late adolescent” algorithm • Capitalize on the tendency of English speakers to organize left-to-right, top-to-bottom

  4. Axess

  5. Recommendations • Traditional document similarity measures don’t work that well • Suggests collaborative approach • However, problems! • Mixture: Item-item based on Facebook data. Add points based on Facebook links (normalize) and combine with major data. • O(n*k) where n is the number of courses in history and k is the average branching factor (30 in practice for the data I was using) • 70ish% success (loosely defined)

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