Enhancing Factorization Machines With Generalized Metric Learning
Enhancing Factorization Machines With Generalized Metric Learning
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 product violates the triangle …