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原文連結
論文資訊
- 類型:已發表論文
- 日期:2018
摘要
Researchers describe a new algorithm called SpringRank that uses wins and losses to quickly find rankings lurking in large 網絡s. When tested on a wide range of synthetic and real-world datasets, ranging from teams in an NCAA college basketball tournament to the 社會 behavior of animals, SpringRank outperformed other ranking algorithms in predicting outcomes and in efficiency.
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