Enhancing Factorization Machines with Generalized Metric Learning

Yangyang Guo
Yangyang Guo
Zhiyong Cheng
Zhiyong Cheng
Jiazheng Jing
Jiazheng Jing
Yanpeng Lin
Yanpeng Lin
Cited by: 0|Bibtex|Views85|Links

Abstract:

Factorization Machines (FMs) are effective in incorporating side information to overcome the cold-start and data sparsity problems in recommender systems. Traditional FMs adopt the inner product to model the second-order interactions between different attributes, which are represented via feature vectors. The problem is that the inner p...More

Code:

Data:

Your rating :
0

 

Tags
Comments