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  • RankSVM

    多标签学习-RankSVM方法

    https://blog.csdn.net/csdn_47/article/details/83662256

    Learning to Rank算法介绍:RankSVM 和 IR SVM

    https://www.cnblogs.com/bentuwuying/p/6683832.html

    https://zhuanlan.zhihu.com/p/337153342 

    推荐- Point wise、pairwise及list wise的比较

    https://zhuanlan.zhihu.com/p/337478373

    https://www.cs.cornell.edu/people/tj/svm_light/svm_rank.html

    https://www.cs.cornell.edu/people/tj/svm_light/svm_rank.html

    https://github.com/FurongPeng/liblinear-ranksvm

    https://github.com/cjlin1/liblinear

    SVMrank——Support Vector Machine for Ranking(SVMrank——使用svm的排序)

    https://blog.csdn.net/u010454729/article/details/51037898?spm=1035.2023.3001.6557&utm_medium=distribute.pc_relevant_bbs_down.none-task-blog-2~default~OPENSEARCH~Rate-3.nonecase&depth_1-utm_source=distribute.pc_relevant_bbs_down.none-task-blog-2~default~OPENSEARCH~Rate-3.nonecase

    svm_rank window平台下是用这个工具、windows平台下怎么使用svm-rank工具包?、SVMlight工具包使用说明(windows、svmlight使用说明

    https://blog.csdn.net/qq_38735017/article/details/118307535?spm=1035.2023.3001.6557&utm_medium=distribute.pc_relevant_bbs_down.none-task-blog-2~default~OPENSEARCH~Rate-2.nonecase&depth_1-utm_source=distribute.pc_relevant_bbs_down.none-task-blog-2~default~OPENSEARCH~Rate-2.nonecase

    排序学习(learning to rank)中的ranknet pytorch简单实现

    https://www.cnblogs.com/little-horse/p/10468311.html

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  • 原文地址:https://www.cnblogs.com/funykatebird/p/15812882.html
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