Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering

Addressing biases in observed data is a major challenge in statistical and machine learning applications. This challenge also exists in recommendation systems, and various methods based on causal inference are being investigated. We investigate a collaborative filtering technique that robustly predi...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Iwao Tanuma, Tomoko Matsui
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2023-01-01
Sarja:	IEEE Access
Aiheet:	Collaborative filtering matrix factorization recommendation system treatment of biases
Linkit:	https://ieeexplore.ieee.org/document/10210553/
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