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The Barriers to Online Clothing Websites for Visually Impaired People: An Interview and Observation Approach to Understanding Needs
Visually impaired (VI) people often face challenges when performing everyday tasks and identify shopping for clothes as one of the most challenging.
An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features
Our results show that Random Forest (RF) and Logistic Regression (LR) with all features (including novel features, song audio features and lyrics features) outperforms other models, achieving 89. 1% and 87. 2% accuracy, and 0. 91 and 0. 93 AUC, respectively.
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