Sherry Shaghayegh Sahebi
Sherry Shaghayegh Sahebi
Associate Professor, University at Albany, SUNY
Verified email at - Homepage
Cited by
Cited by
Community-Based Recommendations: a Solution to the Cold Start Problem
S Sahebi, WW Cohen
Recommender systems: Sources of knowledge and evaluation metrics
D Parra, S Sahebi
Advanced Techniques in Web Intelligence-2: Web User Browsing Behaviour and …, 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
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
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
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
Modeling Knowledge Acquisition from Multiple LearningResource Types
S Zhao, C Wang, S Sahebi
Proceedings of the 13th International Conference on Educational Data Mining …, 2020
Content-based cross-domain recommendations using segmented models.
S Sahebi, T Walker
CBRecSys@ RecSys, 57-64, 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
Student Performance Prediction by Discovering Inter-Activity Relations
S Sahebi, P Brusilovsky
11th International Conference on Educational Data Mining (EDM'18), 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
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
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
Predicting student performance in solving parameterized exercises
S Sahebi, Y Huang, P Brusilovsky
Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014
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
Modeling students’ behavior using sequential patterns to predict their performance
M Mirzaei, S Sahebi
Artificial Intelligence in Education: 20th International Conference, AIED …, 2019
Cross-domain recommendation for large-scale data
S Sahebi, P Brusilovsky, V Bobrokov
CEUR Workshop Proceedings 1887, 9-15, 2017
Rank-based tensor factorization for student performance prediction
TN Doan, S Sahebi
12th International Conference on Educational Data Mining (EDM), 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
Relaxed clustered hawkes process for student procrastination modeling in moocs
M Yao, S Zhao, S Sahebi, RF Behnagh
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4599-4607, 2021
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