D. Parra and S. Sahebi, "Advanced Techniques in Web Intelligence - 2," Advanced Techniques in Web
Intelligence-2: Web User Browsing Behaviour and Preference Analysis, J. D. Vasquez et al. (Eds.), Ed.
Berlin Heidelberg: Springer-Verlag, 2013, p. 149-175. link
Conference and Workshop Papers
T.N. Doan, and S. Sahebi,
"Review-Based Cross-Domain Collaborative Filtering: A Neural Framework",
Third Workshop on Recommendation in Complex Scenarios (ComplexRec), 2019.
T.N. Doan, and S. Sahebi,
"Rank-Based Tensor Factorization for Student Performance Prediction",
12th International Conference on Educational Data Mining (EDM), 2019. paperslides
M. Mirzaei, S. Sahebi,
, and P. Brusilovsky, "Annotated Examples and Parameterized Exercises: Analyzing Student's Sequential Patterns",
The 20th International Conference on Artificial Intelligence in Education (AIED), 2019.
S. Sahebi,
, and P. Brusilovsky, "Student Performance Prediction by Discovering Inter-Activity Relations",
11th International Conference on Educational Data Mining (EDM), 2018. link
S. Sahebi,
, P. Brusilovsky, and V. Bobrikov, "Cross-domain recommendation for large-scale data",
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL), 2017. link
S. Sahebi,
Y. Lin, and P. Brusilovsky, "Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain",
The 9th International Conference on Educational Data Mining, 2016. link
S. Sahebi
and P. Brusilovsky, "It Takes Two to Tango: an Exploration of Domain Pairs for Cross-Domain Collaborative Filtering",
9th ACM Conference on Recommender Systems (RecSys), 2015. p. 131-138. link
S. Sahebi
and T. Walker, "Content-Based Cross-Domain Recommendations Using Segmented Models",
Workshop on New Trends in Content-based Recommender Systems (CBRecsys), 2014. p. 57-63. link
J. Guerra, S. Sahebi, P. Brusilovsky, and Y. Lin, "The Problem Solving Genome: Analyzing
Sequential Patterns of Student Work with Parameterized Exercises", International Conference on Educational Data Mining, 2014. p. 153-160. link
S. Sahebi, Y. Huang, and P. Brusilovsky, "Parameterized Exercises in Java Programming: using
Knowledge Structure for Performance Prediction", The second Workshop on AI-supported Education
for Computer Science (AIEDCS), 2014. link
S. Sahebi, Y. Huang, and P. Brusilovsky, "Predicting Student Performance in Solving Parameterized
Exercises", International Conference on Intelligent Tutoring Systems, 2014. p. 496-503. link
S. Sahebi and P. Brusilovsky, "Cross-Domain Recommendation in a Cold-Start Context: The impact
of User Profile Size on the Quality of Recommendation", User Modeling and Adaptive Hypermedia, Springer Berlin Heidelberg, 2013. p.
289-295. link
C. Lopez, R. Farzan, S. Sahebi, and P. Brusilovsky, "What Influences the Decision to Participate in
Audience-bounded Online Communities?", iConference, 2013. link
S. Sahebi and W. W. Cohen, "Community-Based Recommendations: a Solution to the Cold Start
Problem," in Workshop on Recommender Systems and the Social Web (RSWEB), 2011. link
P. Brusilovsky, D. Parra, S. Sahebi, and C. Wongchokprasitti, "Collaborative Information Finding in
Smaller Communities: The Case of Research Talks," in Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), IEEE, 2010. link
S. Sahebi, C. Wongchokprasitti, and P. Brusilovsky, "Recommending Research Colloquia: A Study
of Several Sources for User Profiling," in International Workshop on Information Heterogeneity and
Fusion in Recommender Systems (HetRec), 2010. link
S. Sahebi, F. Oroumchian, and R. Khosravi, "An Enhanced Similarity Measure for Utilizing Site
Structure in Web Personalization Systems," in 2008 IEEE/WIC/ACM International Conference on
Web Intelligence and Intelligent Agent Technology, 2008, pp. 82-85. link
R. Khosravi, M. Sirjani, N. Asoudeh, S. Sahebi, and H. Iravanchi, "Modeling and Analysis of Reo
Connectors Using Alloy," in Coordination Models and Languages, D. Lea and G. Zavattaro, Eds. Berlin,
Heidelberg: Springer Berlin, Heidelberg, 2008, pp. 169-183. link
S. Sahebi, F. Oroumchian, and R. Khosravi, "Applying and Comparing Hidden Markov Model and
Fuzzy Clustering Algorithms to Web Usage Data for Recommender Systems," in Data Mining and
Knowledge Discovery, 2008, pp. 179-181. link
Poster
D. Parra, W. Jeng, P. Brusilovsky, C. Lopez, and S. Sahebi, "Conference Navigator 3: An Online Social
Conference Support System," Poster in User Modeling and Adaptive Hypermedia, 2012. link
Theses
[Ph.D. Thesis] Canonical Correlation Analysis in Cross-Domain Recommendation, University of Pittsburgh, 2016.
[M.S. Thesis] Cross-Domain Recommendation: The Feasibility and the Value for the Cold Start Users, University of Pittsburgh, 2013.
[M.S. Thesis] Applying Web Content to Web Recommendation Systems, University of Tehran, 2009.
[B.S. Thesis] A System for Evaluating View Updating in RDBMSs, Sharif University of Technology, 2005.