On Deep Learning for Trust-Aware Recommendations in Social Networks

@article{Deng2017OnDL,
  title={On Deep Learning for Trust-Aware Recommendations in Social Networks},
  author={Shuiguang Deng and Longtao Huang and Guandong Xu and Xindong Wu and Zhaohui Wu},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2017},
  volume={28},
  pages={1164-1177}
}
With the emergence of online social networks, the social network-based recommendation approach is popularly used. The major benefit of this approach is the ability of dealing with the problems with cold-start users. In addition to social networks, user trust information also plays an important role to obtain reliable recommendations. Although matrix factorization (MF) becomes dominant in recommender systems, the recommendation largely relies on the initialization of the user and item latent… CONTINUE READING
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