Here’s a presentation about music recommendation and discovery.
Music Recommendation and Discovery
View more presentations from Paul Lamere
Sep 30
Hunch has just posted a new page detailing what parts of their service are available via their open API. Their service provides personalized recommendation based on the answers you gave to a series of profile questions. The full Hunch profile is ~2,000 questions.
Hunch intro video, partner insights version from Hunch on Vimeo.
May 13
Overstock.com has partnered with Rich Relevance to offer a $1 million prize for those that can help improve their product recommendations. Here’s the Fast Company article. To find out more about the contest, check out the RecLab Prize site.
Feb 11
Instead of each site you visit having its own recommendation algorithms, Inveni has come up with a different approach. They allow you to create an Inveni profile and then share it with sites and advertisers as you like. They are starting with movie and tv recommendations
Here is the Techcrunch article and a video.
Sep 22
Check out this Techcrunch article highlighting Myspace’s new recommendation system, Qizmt. It’s built on a mapreduce framework.
Jun 01
In an effort to increase user engagement, satisfaction, and profitability, many websites are offering their users various types of recommendations. Many people are familiar with Amazon.com’s people who bought also bought or people who browsed also browsed. But how do they do that?
Darren Vengroff, chief scientist from RichRelevance, explains some of the components of a recommendation system in a GigaOM article.
May 08
Netflix just implemented some updates to their star rating predictions based on some work done on the Netflix Prize. Here’s what Todd Yellin, Director of Product Management, and Jon Sanders, Director of Recommendation Systems have to say on the Netflix Blog.
Mar 25
Greg Linden put together a few thoughts about recommendation algorithms. His ideas continue at a post on the Communications of the ACM Blog.
