Data Set Information:

我们通过对www.microsoft.com日志进行采样和处理来创建数据。数据记录了38000名匿名、随机选择的用户使用www.microsoft.com的情况。对于每个用户，数据列出了用户在一周时间内访问的网站（Vroots）的所有区域。

用户仅通过序列号识别，例如用户#14988、用户#14989等。该文件不包含任何个人可识别信息。294个VRoot通过其标题（如“NetShow for PowerPoint”）和URL（如“/stream”）进行标识。数据来自1998年2月的一周。

Attribute Information:

每个属性都是www.microsoft.com网站的一个区域（“vroot”）。
数据集记录了1998年2月每个用户在一周的时间内访问的VROOT。

Relevant Papers:

J. Breese, D. Heckerman., C. Kadie _Empirical Analysis of Predictive Algorithms for Collaborative Filtering_ Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madison, WI, July, 1998.
[Web link]

Also, expanded as Microsoft Research Technical Report MSR-TR-98-12,  The papers are available on-line at: [Web link]

Papers That Cite This Data Set¹:

W. Nick Street and Yoo-Hyon Kim. A streaming ensemble algorithm (SEA) for large-scale classification. KDD. 2001.  [View Context].

Dmitry Pavlov and Darya Chudova and Padhraic Smyth. Towards scalable support vector machines using squashing. KDD. 2000.  [View Context].

Dmitry Pavlov and Jianchang Mao and Byron Dom. Scaling-Up Support Vector Machines Using Boosting Algorithm. ICPR. 2000.  [View Context].

Kristin P. Bennett and Erin J. Bredensteiner. Geometry in Learning. Department of Mathematical Sciences Rensselaer Polytechnic Institute.  [View Context].

Citation Request:

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