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Oct, 2022
ResBeMF: 基于分类的协同过滤预测覆盖率的改进
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering
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Ángel González-Prieto, Abraham Gutierrez, Fernando Ortega, Raúl Lara-Cabrera
TL;DR
本文提出了一种新的协同过滤推荐系统ResBeMF，可提供与预测相关的可靠性，从而具有更高的预测质量和预测可靠性的平衡调整。
Abstract
reliability measures
associated to
machine learning
model predictions are critical to reinforcing user confidence in artificial intelligence. Therefore, those models that are able to provide not only predictions,
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