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)