推薦システム最適化アルゴリズム、「Relevance Matrix Factorization」を開発、Web Search and Data Mining（WSDM '20）にて発表 ～学習データのバイアスに囚われず、ユーザーの興味に適したより幅広い商品推薦を実現～ SMN株式会社（以下、SMN）の研究開発組織「a.i lab.

Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...

There is substantial interest in the current literature – spanning finance, economics, engineering and medical imaging – on the relationship structure between several nodes in a complex system. In ...

This is a preview. Log in through your library . Abstract Matrix factorization in numerical linear algebra (NLA) typically serves the purpose of restating some given problem in such a way that it can ...