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