Using explainability for constrained matrix factorization
B Abdollahi, O Nasraoui - Proceedings of the eleventh ACM conference …, 2017 - dl.acm.org
Accurate model-based Collaborative Filtering (CF) approaches, such as Matrix Factorization
(MF), tend to be black-box machine learning models that lack interpretability and do not …
(MF), tend to be black-box machine learning models that lack interpretability and do not …
[PDF][PDF] Using Explainability for Constrained Matrix Factorization
B Abdollahi, O Nasraoui - 2017 - researchgate.net
Accurate model-based Collaborative Filtering (CF) approaches, such as Matrix Factorization
(MF), tend to be black-box machine learning models that lack interpretability and do not …
(MF), tend to be black-box machine learning models that lack interpretability and do not …
[引用][C] Using Explainability for Constrained Matrix Factorization
B Abdollahi, O Nasraoui - Proceedings of the Eleventh ACM Conference …, 2017 - cir.nii.ac.jp
Using Explainability for Constrained Matrix Factorization | CiNii Research CiNii 国立情報学
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
Using Explainability for Constrained Matrix Factorization
B Abdollahi, O Nasraoui - uknowledge.uky.edu
Using Explainability for Constrained Matrix Factorization Page 1 Using Explainability for
Constrained Matrix Factorization Behnoush Abdollahi, Olfa Nasraoui Knowledge Discovery & …
Constrained Matrix Factorization Behnoush Abdollahi, Olfa Nasraoui Knowledge Discovery & …