Author: George Karypis

Publications

Publication period start: 2012
Number of co-authors: 15

Co-authors

Number of publications with favourite co-authors
Vipin Kumar
2
Mukund Deshpande
3
Eui-Hong Han
4

Productive Colleagues

Most productive colleagues in number of publications
Ying Zhao
5
Vipin Kumar
6
Naren Ramakrishnan
14

Publications

Deshpande, Mukund, Karypis, George (2004): Item-based top-N recommendation algorithms. In ACM Transactions on Information Systems, 22 (1) pp. 143-177. https://dl.acm.org/doi/10.1145/963770.963776

Deshpande, Mukund, Karypis, George (2004): Selective Markov models for predicting Web page accesses. In ACM Trans. Internet Techn., 4 (2) pp. 163-184. https://dl.acm.org/doi/10.1145/990301.990304

Ramakrishnan, Naren, Keller, Benjamin J., Mirza, Batul J., Grama, Ananth, Karypis, George (2001): Privacy Risks in Recommender Systems. In IEEE Internet Computing, 5 (6) pp. 54-62. https://csdl.computer.org/comp/mags/ic/2001/06/w6054abs.htm

Karypis, George, Han, Eui-Hong, Kumar, Vipin (1999): Chameleon: Hierarchical Clustering Using Dynamic Modeling. In IEEE Computer, 32 (8) pp. 68-75.

Deshpande, Mukund, Karypis, George (2002): Using conjunction of attribute values for classification. In: Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management November 4-9, 2002, McLean, VA, USA. pp. 356-364. https://doi.acm.org/10.1145/584792.584851

Han, Eui-Hong, Karypis, George (2000): Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categoriz. In: Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management November 6-11, 2000, McLean, VA, USA. pp. 12-19. https://doi.acm.org/10.1145/354756.354772

Han, Eui-Hong, Karypis, George (2005): Feature-based recommendation system. In: Herzog, Otthein, Schek, Hans-Jorg, Fuhr, Norbert (eds.) Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management October 31 - November 5, 2005, Bremen, Germany. pp. 446-452. https://doi.acm.org/10.1145/1099554.1099683

Han, Eui-Hong, Karypis, George, Mewhort, Doug, Hatchard, Keith (2003): Intelligent metasearch engine for knowledge management. In: Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management November 2-8, 2003, New Orleans, Louisiana, USA. pp. 492-495. https://doi.acm.org/10.1145/956863.956955

Karypis, George (2001): Evaluation of Item-Based Top-N Recommendation Algorithms. In: Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management November 5-10, 2001, Atlanta, Georgia, USA. pp. 247-254. https://

Zhao, Ying, Karypis, George (2002): Evaluation of hierarchical clustering algorithms for document datasets. In: Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management November 4-9, 2002, McLean, VA, USA. pp. 515-524. https://doi.acm.org/10.1145/584792.584877

Zhao, Ying, Karypis, George (2004): Soft clustering criterion functions for partitional document clustering: a summary of resu. In: Grossman, David A., Gravano, Luis, Zhai, Chengxiang, Herzog, Otthein, Evans, David A. (eds.) Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management November 8-13, 2004, Washington, DC, USA. pp. 246-247. https://doi.acm.org/10.1145/1031171.1031225

Sarwar, Badrul, Karypis, George, Konstan, Joseph, Reidl, John (2001): Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 2001 International Conference on the World Wide Web , 2001, . pp. 285-295. https://doi.acm.org/10.1145/371920.372071

Oztekin, B. Uygar, Karypis, George, Kumar, Vipin (2002): Expert agreement and content based reranking in a meta search environment using Mearf. In: Proceedings of the 2002 International Conference on the World Wide Web , 2002, . pp. 333-344. https://doi.acm.org/10.1145/511446.511490

Ning, Xia, Karypis, George (2012): Sparse linear methods with side information for top-n recommendations. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 155-162. https://dx.doi.org/10.1145/2365952.2365983