Geeking with Greg

Scoble has a one hour interview with Erik Selberg and Andy Edmonds of MSN Search.

The best parts for me were when they touched on their unusual efforts to use neural networks to improve relevance rank.

For more on that, see my previous post, "MSN Search and Learning to Rank", where I talk about a paper out of Microsoft Research by Burges et al. called "Learning to Rank using Gradient Descent".

[via Gary Price]