Parameswaran, Aditya and Garcia-Molina, Hector (2009) Recommendations with prerequisites. In: ACM Conference on Recommender Systems, Oct 22-25, 2009, New York.
BibTeX | DublinCore | EndNote | HTML |
This is the latest version of this item.
| PDF 175Kb |
Abstract
We consider the problem of recommending the best set of k items when there is an inherent ordering between items, expressed as a set of prerequisites (e.g., the course ‘Real Analysis’ is a prerequisite of ‘Complex Analysis’). Since this problem is NP-hard, we develop 3 approximate algorithms to solve this problem. We experimentally evaluate these algorithms on synthetic data.
Item Type: | Conference or Workshop Item (Poster) |
---|---|
Uncontrolled Keywords: | Recommendation Algorithms, Graph Theory, Algorithms, Theory |
Projects: | CourseRank |
ID Code: | 938 |
Deposited By: | Aditya Parameswaran |
Deposited On: | 11 Aug 2009 17:18 |
Last Modified: | 30 Nov 2009 01:34 |
Available Versions of this Item
- Recommendations with prerequisites. (deposited 10 May 2009 13:41)
- Recommendations with prerequisites. (deposited 11 Aug 2009 17:18) [Currently Displayed]
Download statistics
Repository Staff Only: item control page