Can we incorporate product content into C.F?
model:
$$ r_{ij} = u + b_i + b_j + [u_i + \sum(x_i)]^T v_j $$
where
- $ u $ is global mean
- $ b_j, b_i $ are user and product biases (would capture popular products)
- $ u_i $ is user loadings on latent factors
- $ x_i $ are user specific features (like average of past items viewed
- $ v_j $ are product loadings on latent factors
Issues:
- we have a user x product matrix with views (clicks). Are views useful to predict?
- we have a user x product matrix with buys (but I think this is one per user)