I had the great pleasure of giving a talk today on practical issues in personalization and recommendations for the Data Mining (CS345) class at Stanford taught by Anand Rajaraman and Jeff Ullman.
The slides from my talk are available in two versions. The first version is the talk I actually gave; make sure to read the notes pages for the slides, or it will be difficult to follow. The second version is done in a very different style and should be easier to follow without me blabbing away in front of you.
It was very fun giving this talk. The students were clever, thoughtful, and enthusiastic. I was pleased to get a chance to talk again with Anand, a sharp former colleague from Amazon.com. And, I was overjoyed to meet Jeff Ullman who, for many of us computer science geeks, is a legend because of his seminal work and books.
I hope the talk was as fun for those in the audience as it was from the podium. Thanks again, Anand, for inviting me to speak.
See also my earlier post about the excellent lecture notes that are publicly available for this data mining class. If you are working (or just dabbling) in this field, they are well worth your time to review.
Update: Matt Wyndowe, who was sitting in the class, posted some thoughts on my talk. Thanks, Matt!