Flexible Recommendations for Course Planning

被引：2

作者：

Koutrika, Georgia ^{[1
]}

Bercovitz, Benjamin ^{[1
]}

Ikeda, Robert ^{[1
]}

Kaliszan, Filip ^{[1
]}

Liou, Henry ^{[1
]}

Garcia-Molina, Hector ^{[1
]}

机构：

[1] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA

来源：

ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3 | 2009年

关键词：

D O I：

10.1109/ICDE.2009.127

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Most recommendation methods are 'hard-wired' into the system and support only fixed recommendations. The purpose of this demo is to show the expressivity of flexible recommendation workflows, how flexible recommendations can be processed over relational data, and to show flexible recommendations in action through a real system used for course planning.

引用

页码：1467 / 1470

页数：4

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