Slide 28
Slide 28 text
Collaborative Filtering
u We want to learn a low dimensional embedding for users
and Whispers.
u Learn a score function f(u,w) that gives scores of whispers
given a user. Ex:
u Define a rank function that ranks all whispers for all users
*Jason Weston, Samy Bengio, and Nicolas Usunier. Large scale image
annotation: learning to rank with joint word-image embeddings.
Machine learning, 81(1):21–35, 2010.
Whisper @ LA DS Meetup, 2015/03/23
f u,w
( )=U
u
⋅W
w
rank u,w
( )= Ι f u,k
( )> f u,w
( )
{ }
k∈w,k≠w
∑