Seyed Mohammad Taheri - Google Scholar

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	All	Since 2019
Citations	65	53
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201720182019202020212022202320244 8 12 10 13 8 6 4

Co-authors

Mohammad FirouziUniversity of TorontoVerified email at cs.toronto.edu
Hamidreza MahyarAssistant Professor, McMaster UniversityVerified email at mcmaster.ca
Ali MovagharProfessor of Computer Science and Engineering, Sharif University of Technology., Tehran, IranVerified email at sharif.edu

Seyed Mohammad Taheri

Seyed Mohammad Taheri

M.S. student, Sharif University of technology

Verified email at ce.sharif.edu - Homepage

Social Network Recommender Systems


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Extracting implicit social relation for social recommendation techniques in user rating prediction SM Taheri, H Mahyar, M Firouzi, E Ghalebi K, R Grosu, A Movaghar Proceedings of the 26th international conference on world wide web companion …, 2017	40	2017
HellRank: a Hellinger-based centrality measure for bipartite social networks SM Taheri, H Mahyar, M Firouzi, E Ghalebi K, R Grosu, A Movaghar Social Network Analysis and Mining 7, 1-16, 2017	23	2017
E, Grosu R, Movaghar A (2017) Extracting implicit social relation for social recommendation techniques in user rating prediction SM Taheri, H Mahyar, M Firouzi, K Ghalebi Social computing workshop: spatial social behavior analytics on the web at …, 0	2
Similarity-based ranking of user influence in bipartite social networks SM Taheri, H Mahyar, M Firouzi, A Movaghar Second European Conference on Social Networks, 284, 0

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Articles 1–4