| Community-Based Recommendations: a Solution to the Cold Start Problem S Sahebi, WW Cohen | 159 | 2011 |
| Recommender systems: Sources of knowledge and evaluation metrics D Parra, S Sahebi Advanced Techniques in Web Intelligence-2: Web User Browsing Behaviour and …, 2013 | 109 | 2013 |
| Cross-domain collaborative recommendation in a cold-start context: The impact of user profile size on the quality of recommendation S Sahebi, P Brusilovsky User Modeling, Adaptation, and Personalization: 21th International …, 2013 | 71 | 2013 |
| Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain S Sahebi, YR Lin, P Brusilovsky Proceedings of the 9th International Conference on Educational Data Mining …, 2016 | 49 | 2016 |
| The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises J Guerra, S Sahebi, P Brusilovsky, YR Lin 7th International Conference on Educational Data Mining (EDM 2014), 2014 | 49 | 2014 |
| It takes two to tango: An exploration of domain pairs for cross-domain collaborative filtering S Sahebi, P Brusilovsky Proceedings of the 9th ACM Conference on Recommender Systems, 131-138, 2015 | 41 | 2015 |
| Modeling Knowledge Acquisition from Multiple LearningResource Types S Zhao, C Wang, S Sahebi Proceedings of the 13th International Conference on Educational Data Mining …, 2020 | 36 | 2020 |
| Content-based cross-domain recommendations using segmented models. S Sahebi, T Walker CBRecSys@ RecSys, 57-64, 2014 | 32 | 2014 |
| Modeling and analysis of Reo connectors using Alloy R Khosravi, M Sirjani, N Asoudeh, S Sahebi, H Iravanchi Coordination Models and Languages: 10th International Conference …, 2008 | 29 | 2008 |
| Student Performance Prediction by Discovering Inter-Activity Relations S Sahebi, P Brusilovsky 11th International Conference on Educational Data Mining (EDM'18), 2018 | 23 | 2018 |
| Conference Navigator 3: An online social conference support system. D Parra, W Jeng, P Brusilovsky, C López, S Sahebi Umap workshops, 1-4, 2012 | 19 | 2012 |
| Stimuli-sensitive Hawkes processes for personalized student procrastination modeling M Yao, S Zhao, S Sahebi, R Feyzi Behnagh Proceedings of the Web Conference 2021, 1562-1573, 2021 | 18 | 2021 |
| Predicting student performance in solving parameterized exercises S Sahebi, Y Huang, P Brusilovsky Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014 | 17 | 2014 |
| Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach M Yao, S Sahebi, R Feyzi Behnagh Proceedings of The 13th International Conference on Educational Data Mining …, 2020 | 16 | 2020 |
| Collaborative information finding in smaller communities: The case of research talks P Brusilovsky, D Parra, S Sahebi, C Wongchokprasitti 6th International Conference on Collaborative Computing: Networking …, 2010 | 16 | 2010 |
| Modeling students’ behavior using sequential patterns to predict their performance M Mirzaei, S Sahebi Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 15 | 2019 |
| Cross-domain recommendation for large-scale data S Sahebi, P Brusilovsky, V Bobrokov CEUR Workshop Proceedings 1887, 9-15, 2017 | 15 | 2017 |
| Rank-based tensor factorization for student performance prediction TN Doan, S Sahebi 12th International Conference on Educational Data Mining (EDM), 2019 | 14 | 2019 |
| Knowledge tracing for complex problem solving: Granular rank-based tensor factorization C Wang, S Sahebi, S Zhao, P Brusilovsky, LO Moraes Proceedings of the 29th ACM conference on user modeling, adaptation and …, 2021 | 12 | 2021 |
| Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing. C Wang, S Zhao, S Sahebi International Educational Data Mining Society, 2021 | 12 | 2021 |
Peter BrusilovskyProfessor, School of Computing and Information, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
