公开数据集
数据结构 ? 468K
Data Structure ?
* 以上分析是由系统提取分析形成的结果,具体实际数据为准。
README.md
Michael Pazzani
Department of Information and Computer Science,
University of California, Irvine
Irvine, CA 92697-3425
pazzani '@' ics.uci.edu
http://www.ics.uci.edu/~pazzani
Data Set Information:
The HTML source of a web page is given. Users looked at each web page and inidated on a 3 point scale (hot medium cold) 50-100 pages per domain. However, this is realistic because we want to learn user profiles from as few examples as possible so that users have an incentitive to rate pages.
Attribute Information:
Each subject is in a separate directory. Within each directory, there is an file named "index". The index contains information on the other files. Each entry is a line of the form:
file-name | rating | url | date-rated | title
where file-name is the name of a file (usually an integer), rating is hot, medium, or cold. There are so few medium's that mediums are usually merged with cold in experiments.
The other fields aren't used in learning, but they are collected by the interface for other purposes. They are the url of the html source, the date rated and the title of the web oage.
Relevant Papers:
Pazzani M., Billsus, D. (1997). Learning and Revising User Profiles: The identification of interesting web sites. Machine Learning 27, 313-331
[Web link]
Pazzani, M., Muramatsu J., Billsus, D. (1996). Syskill & Webert: Identifying interesting web sites. Proceedings of the National Conference on Artificial Intelligence, Portland, OR. PDF
[Web link]
帕依提提提温馨提示
该数据集正在整理中,为您准备了其他渠道,请您使用
- 分享你的想法
全部内容
数据使用声明:
- 1、该数据来自于互联网数据采集或服务商的提供,本平台为用户提供数据集的展示与浏览。
- 2、本平台仅作为数据集的基本信息展示、包括但不限于图像、文本、视频、音频等文件类型。
- 3、数据集基本信息来自数据原地址或数据提供方提供的信息,如数据集描述中有描述差异,请以数据原地址或服务商原地址为准。
- 1、本站中的所有数据集的版权都归属于原数据发布者或数据提供方所有。
- 1、如您需要转载本站数据,请保留原数据地址及相关版权声明。
- 1、如本站中的部分数据涉及侵权展示,请及时联系本站,我们会安排进行数据下线。