Eigentaste is a collaborative filtering algorithm to elicit real-valued user ratings on a common set of items and applies principal component analysis (PCA) to the resulting dense subset of the ratings matrix (Technical talk).
Eigentaste is a technology to deliver personalized jokes
catered to your own taste, imagine that! (Marketing talk).
Eigentaste was developed by Professor Ken Goldberg and his team at the University of California, Berkeley. The technology has been implemented in Jester 5.0, an online joke system, to recommend new jokes to users based on their ratings of the initial set. Here’re the funniest jokes from Jester 5.0 based on users’ highest rating.
Laugh more, live longer!
No comments:
Post a Comment