Flexible Recommendations for Course Planning

Authors:
Georgia Koutrika;Benjamin Bercovitz;Robert Ikeda;Filip Kaliszan;Henry Liou;Hector Garcia-Molina
Affiliations:
-;-;-;-;-;-
Venue:
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Year:
2009

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Abstract

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.