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Differentiating regularization weights - A simple mechanism to alleviate cold start in recommender systems
Hung Hsuan Chen
, Pu Chen
資訊工程學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
21
引文 斯高帕斯（Scopus）
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Recommender Systems
100%
Simple Mechanisms
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Latent Factors
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Matrix Factorization
60%
SVD++
40%
Prediction Accuracy
20%
Proposed Methodology
20%
Loss Function
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Overfitting
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Regularization Method
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Result Prediction
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Simple Technique
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Two-objective
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Frobenius Norm
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Rating Score
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Python Package
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Field-aware Factorization Machine
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Long Tail Items
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Computer Science
Regularization
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Recommender Systems
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Matrix Factorization
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Baseline Model
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Mathematics
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Regularization
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Approximates
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Frobenius Norm
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