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部分排名的可视化集

Visualizing Sets of Partial Rankings
课程网址: http://videolectures.net/ida07_ukkonen_vsopr/  
主讲教师: Antti Ukkonen
开课单位: 雅虎公司
开课时间: 2007-10-08
课程语种: 英语
中文简介:
部分排名是一组项目的完全有序子集。它们出现在不同的应用程序中,如点击流分析和协同过滤,但由于它们是组合结构,因此很难用传统的数据分析技术进行分析。提出了一种在高维空间中表示局部排序集的散点图的方法,并应用已知的降维方法。通过对不同应用领域的实际数据集进行定量分析,比较了不同的方法。尽管这些方法很简单,但它们可以产生易于解释的有用的可视化效果。
课程简介: Partial rankings are totally ordered subsets of a set of items. They arise in different applications, such as clickstream analysis and collaborative filtering, but can be difficult to analyze with traditional data analysis techniques as they are combinatorial structures. We propose a method for creating scatterplots of sets of partial rankings by first representing them in a high-dimensional space and then applying known dimensionality reduction methods. We compare different approaches by using quantitative measures and demonstrate the methods on real data sets from different application domains. Despite their simplicity the proposed methods can produce useful visualizations that are easy to interpret.
关 键 词: 部分排名; 点击流分析; 协同过滤; 降维方法
课程来源: 视频讲座网
最后编审: 2020-06-19:cxin
阅读次数: 25