Jester is online system that recommends jokes based on previous joke ratings. It uses a collaborative filtering algorithm called Eigentaste.
Eigentaste uses universal queries to elicit real-value ratings and applies principal component analysis to facilitate dimensionality reduction for users' clustering. It is proven to be more efficient than nearest-neighbor techniques and other techniques based on output data from JESTER.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment