document dataset for learning to rank algorithm?
Recently I started working on a learning to rank algorithm which involves feature extraction as well as ranking. Famous learning to rank algorithm data-sets that I found on Microsoft research website had the datasets with query id and Features extracted from the documents. Can someone suggest me a good learning to rank Dataset which would have query-document pairs in their original form with good relevance judgment ??.
Alex Rogozhnikov keeps track of a few of datasets that you can use for learning to rank, check his blog post
You can also use the DBLP dataset, which was also used in a Learning to Rank task, check this paper: https://arxiv.org/pdf/1501.05132.pdf
链接地址: http://www.djcxy.com/p/36862.html上一篇: 哪个操作系统的线程编程足以利用多个内核？
下一篇: 学习排序算法的文件数据集？