4 ms·

I'd love to see a bibliography of the papers he likes on the recommender problem.

• wheels 18y ago
  Unfortunately it'd be hard to make sense of a reading list that I'd put together since unlike academic research where you tend to bore down deeper and deeper along a certain path, I've been picking up ideas in more of a grab-bag fashion. Some of the papers that I like aren't especially good papers, but happened to be the connector between two ideas that I'd been kicking around. One of the better general introductions, with a lot of good references at the end is: Google News Personalization: Scalable Online Collaborative Filtering (http://www2007.org/papers/paper570.pdf http://www2007.org/papers/paper570.pdf) That does take a significantly more traditional approach to recommendations algorithms than we do and also the algorithms there tend to do best in cases where (not surprising given the context) the number of users is much larger than the number of items being rated.