عنوان انگلیسی مقاله:
A novel recommendation method based on social network using matrix factorization technique
ترجمه فارسی عنوان مقاله:
یک روش نوین توصیه برمبنای شبکه اجتماعی با اسفاده از روش عامل سازی ماتریسی
Information Processing & Management Volume 54, Issue 3, May 2018, Pages 463-474
The rapid development of information technology and the fast growth of Internet have facilitated an explosion of information which has accentuated the information overload problem. Recommender systems have emerged in response to this problem and helped users to find their interesting contents. With increasingly complicated social context, how to fulfill personalized needs better has become a new trend in personalized recommendation service studies. In order to alleviate the sparsity problem of recommender systems meanwhile increase their accuracy and diversity in complex contexts, we propose a novel recommendation method based on social network using matrix factorization technique. In this method, we cluster users and consider a variety of complex factors. The simulation results on two benchmark data sets and a real data set show that our method achieves superior performance to existing methods.
keywords: Recommendation method |Social network |K-harmonic means |Particle swarm optimization |Matrix factorization
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