Project write-up
HM Recommendations: Find! Then, Rank!
How I built a two-stage recommender from 31.8 million purchases, tested it on a later week, and produced recommendations for 1.37 million customers.
Notes & observations
Blog.
Things I’m learning, ideas I’m trying, and observations I want to keep.
Study notes
Learning recommendation systems with Wang Shusen
A short guide to Wang Shusen's lectures, with my Chinese study notes to read alongside the course.
Research notes
Finding a shape after heat has spread
A short introduction to my inverse-problem research: working backwards from temperature measurements to find a hidden heat source.