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Model-based Collaborative Filtering with Transparency using Linear Regression
2020
Transactions of the Japanese society for artificial intelligence
A collaborative filtering technique with transparency using linear regression is proposed. In this study, the transparency is assumed as a role which users can know how the score is calculated. The proposed linear regression model presents regression coefficients to users. This study evaluates application of regularization and dimensionality reduction to estimate regression coefficient, and performs a score prediction experiment which analyze prediction accuracy, computing time, and obtained
doi:10.1527/tjsai.d-j61
fatcat:ntmkcaee2zdhbj4gmxhigteysi