Abstract
CourseRank is a course planning tool we have developed for Stanford students, and is already in use by most undergraduates. For CourseRank, we have developed a "flexible recommendations" engine for defining recommendation strategies as high level workflows. By selecting a workflow and providing parameters (e.g., a filter condition for biology classes), students can receive personalized recommendations that better suit their needs. In this talk I will give an overview of CourseRank and its recommendation engine.
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© 2008 Springer-Verlag Berlin Heidelberg
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Garcia-Molina, H. (2008). Flexible Recommendations in CourseRank. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008. Lecture Notes in Computer Science, vol 5331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88871-0_4
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DOI: https://doi.org/10.1007/978-3-540-88871-0_4
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