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Parham Moradi

Parham Moradi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 654
Faculty: Faculty of Engineering
Address: Department of Computer Engineering, Faculty of Engineering, University of Kurdistan
Phone:

Research

Title
Nonnegative matrix factorization regularized with trust relationships for solving cold-start problem in recommender systems
Type
Presentation
Keywords
Recommender systems; Matrix factorization, Social trust, Alternating direction method, Collaborative filtering
Year
2018
Researchers Shahrokh Esmaeili ، Parham Moradi ، Hashem Parvin

Abstract

Matrix factorization has shown as an effective collaborative filtering approach to build a successful recommender system. However, these systems have poor performance while facing cold-start users (items). To tackle this issue, in this paper, a social regularization method called TrustANLF is proposed which combines the social network information of users in a nonnegative matrix factorization framework. The proposed method integrates multiple information sources such as user-item ratings and trust statements to reduce the cold-start and data sparsity issues. Moreover, the alternating direction method is used to improve the convergence speed and reduce the computational cost. To evaluate the proposed method, several experiments are performed on two real-world datasets. The results report the effectiveness of the proposed method compared to several stateof-the-art methods.