Title :
Flexible Recommendations for Course Planning
Author :
Koutrika, Georgia ; Bercovitz, Benjamin ; Ikeda, Robert ; Kaliszan, Filip ; Liou, Henry ; Garcia-Molina, Hector
Author_Institution :
Comput. Sci. Dept., Stanford Univ., Stanford, CA
fDate :
March 29 2009-April 2 2009
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.
Keywords :
educational courses; information filters; course planning; flexible recommendation workflows; relational data; Algorithm design and analysis; Collaborative work; Computer science; Data engineering; Graphical user interfaces; Libraries; Motion pictures; Process planning; USA Councils; Uniform resource locators; CourseRank; course planning; flexible recomendations;
Conference_Titel :
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3422-0
Electronic_ISBN :
1084-4627
DOI :
10.1109/ICDE.2009.127
