Shaghayegh Sahebi

发表

Recommending research colloquia: a study of several sources for user profiling

Shaghayegh Sahebi, Chirayu Wongchokprasitti, Peter Brusilovsky, 2010, HetRec '10.

Applying and Comparing Hidden Markov Model and Fuzzy Clustering Algorithms to Web Usage Data for Recommender Systems

Shaghayegh Sahebi, Ramtin Khosravi, Farhad Oroumchian, 2008, IADIS European Conf. Data Mining.

Modeling and Analysis of Reo Connectors Using Alloy

Shaghayegh Sahebi, Marjan Sirjani, Ramtin Khosravi, 2008, COORDINATION.

Collaborative information finding in smaller communities: The case of research talks

Shaghayegh Sahebi, Chirayu Wongchokprasitti, Peter Brusilovsky, 2010, 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2010).

ISP/PhD Comprehensive Examination

Shaghayegh Sahebi, Peter Brusilovsky, Gregory F. Cooper, 2013 .

Cross-Domain Recommendation in a Cold-Start Context: The impact of User Profile Size on the Quality of Recommendation

Shaghayegh Sahebi, Peter Brusilovsky, 2013 .

Parameterized Exercises in Java Programming: using Knowledge Structure for Performance Prediction

Shaghayegh Sahebi, Peter Brusilovsky, Yun Huang, 2014 .

It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering

Shaghayegh Sahebi, Peter Brusilovsky, Peter Brusilovsky, 2015, RecSys.

Modeling Students' Behavior Using Sequential Patterns to Predict Their Performance

Shaghayegh Sahebi, Mehrdad Mirzaei, 2019, AIED.

Review-Based Cross-Domain Collaborative Filtering: A Neural Framework

Shaghayegh Sahebi, Thanh-Nam Doan, Shaghayegh Sherry Sahebi, 2019, ComplexRec@RecSys.

Conference Navigator 3: An online social conference support system

Claudia López, Shaghayegh Sahebi, Peter Brusilovsky, 2012, UMAP Workshops.

Content-Based Cross-Domain Recommendations Using Segmented Models

Shaghayegh Sahebi, Trevor Walker, Shaghayegh Sherry Sahebi, 2014, CBRecSys@RecSys.

Cross-Domain Recommendation for Large-Scale Data

Shaghayegh Sahebi, Peter Brusilovsky, Vladimir Bobrokov, 2017, RecSysKTL.

Recommender Systems: Sources of Knowledge and Evaluation Metrics

Shaghayegh Sahebi, Denis Parra, Denis Parra, 2013 .

Predicting Student Performance in Solving Parameterized Exercises

Shaghayegh Sahebi, Peter Brusilovsky, Yun Huang, 2014, Intelligent Tutoring Systems.

Student Performance Prediction by Discovering Inter-Activity Relations

Shaghayegh Sahebi, Peter Brusilovsky, Peter Brusilovsky, 2018, EDM.

The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises

Shaghayegh Sahebi, Peter Brusilovsky, Yu-Ru Lin, 2014, EDM.

Shaghayegh Sahebi, Ramtin Khosravi, Farhad Oroumchian, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Rank-Based Tensor Factorization for Student Performance Prediction

Shaghayegh Sahebi, Thanh-Nam Doan, 2019, EDM.

Annotated Examples and Parameterized Exercises: Analyzing Students' Behavior Patterns

Shaghayegh Sahebi, Peter Brusilovsky, Mehrdad Mirzaei, 2019, AIED.

Cross-Domain Collaborative Recommendation in a Cold-Start Context: The Impact of User Profile Size on the Quality of Recommendation

Shaghayegh Sahebi, Peter Brusilovsky, Peter Brusilovsky, 2013, UMAP.

Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain

Shaghayegh Sahebi, Peter Brusilovsky, Yu-Ru Lin, 2016, EDM.

Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization

Shaghayegh Sahebi, Peter Brusilovsky, Mehrdad Mirzaei, 2020, FLAIRS Conference.

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization

Shaghayegh Sahebi, Peter Brusilovsky, Siqian Zhao, 2021, UMAP.