| Local item-item models for top-n recommendation E Christakopoulou, G Karypis Proceedings of the 10th ACM conference on recommender systems, 67-74, 2016 | 141 | 2016 |
| HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems E Christakopoulou, G Karypis Pacific-Asia conference on knowledge discovery and data mining, 38-49, 2014 | 64 | 2014 |
| Local latent space models for top-n recommendation E Christakopoulou, G Karypis Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 41 | 2018 |
| Big data and recommender systems DC Anastasiu, E Christakopoulou, S Smith, M Sharma, G Karypis | 14 | 2016 |
| Identifying decision makers from professional social networks S Yu, E Christakopoulou, A Gupta Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 13 | 2016 |
| Moving beyond linearity and independence in top-n recommender systems E Christakopoulou Proceedings of the 8th ACM Conference on Recommender systems, 409-412, 2014 | 8 | 2014 |
| Scalability and Distribution of Collaborative Recommenders. E Christakopoulou, S Smith, M Sharma, A Richards, DC Anastasiu, ... Collaborative Recommendations, 369-404, 2018 | 2 | 2018 |
| Local Latent Space Models for Top-N Recommendation Appendix E Christakopoulou, G Karypis | | 2018 |
| Improving the Quality of Top-N Recommendation E Christakopoulou University of Minnesota, 2018 | | 2018 |
George KarypisDistinguished McKnight University Professor, University of Minnesota; SPS, AWSVerified email at umn.edu
