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我们真的有进步吗？神经推荐方法分析 by dannizhou2002 is a document available to read on EtoBox.

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This document analyzes the progress of recent neural recommendation approaches, revealing that only 39% of the examined algorithms were reproducible. The study highlights issues such as weak baselines and challenges in comparing results, suggesting that many new deep learning methods do not significantly outperform simpler heuristic techniques. The authors call for improved scientific practices in machine learning research to enhance reproducibility and reliability of results.

Author

dannizhou2002

Language

EN