Thanks to Greg Linden for point out this 2 page paper (PDF) by several members of the Yahoo Research Lab about recommender systems research that Yahoo was likely working on last year.
Greg also provides a summary and a bit of analysis. This paper was presented about a year ago at the Beyond Personalization 2005 workshop. If this topic is of interest, plenty more papers and position statements here along with the results of the workshop (worth reviewing).
Btw, the site where all of this content is found is hosted by GroupLens, a research group at the University of Minnesota that has been doing in collaborative filtering since 1992. If you're a movie buff, take a look at MovieLens, a publicly accessible and free movie recommendation service that has also been online for several years.
Save up to $400! Register now for SES New York 2012, the Leading Search & Social Marketing Event, taking place March 19-23. Google's Digital Marketing Evangelist Avinash Kaushik will keynote. Hurry, pre-agenda rate expires March 2!
