TrustGo: Trust Mining and Multi-semantic Regularization in Social Recommendation

S Liu, Y Lan, X Deng, L Yi, C Zhu, L Yang… - Proceedings of the 2024 …, 2024 - dl.acm.org
\beginabstract Social network has obtained extensive attention in recommender system.
Existing social recommendation models mostly leverage social relations to capture potential …

LookLike: similarity-based trust prediction in weighted sign networks

PT Naderi, F Taghiyareh - 2020 6th International Conference …, 2020 - ieeexplore.ieee.org
Trust network is widely considered to be one of the most important aspects of social
networks. It has many applications in the field of recommender systems and opinion …

[PDF][PDF] Trust-aware social recommender system design

P Gao, JS Baras, J Golbeck - Doctor consortium of 2015 international …, 2015 - scitepress.org
With the explosive growth of information and the development of the Internet, we are
overwhelmed with an extreme load of information. As a result, it is difficult to make decisions …

A robust trust inference algorithm in weighted signed social networks based on collaborative filtering and agreement as a similarity metric

K Akilal, H Slimani, M Omar - Journal of Network and Computer …, 2019 - Elsevier
Trust is a very significant notion in social life, and even more in online social networks where
people from different cultures and backgrounds interact. Weighted Signed Networks (WSNs) …

On deep learning for trust-aware recommendations in social networks

S Deng, L Huang, G Xu, X Wu… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
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 …

[PDF][PDF] Predicting trust relations among users in a social network: The role of influence, cohesion and valence

N Vedula, S Parthasarathy, VL Shalin - Proceedings of ACM SKGKDD …, 2016 - sentic.net
Trust is a key concept in social networks, reflecting credibility and reliability for a multitude of
participants and online data. Nevertheless, the majority of such networks lack explicit trust …

A local trust inferring algorithm based on reinforcement learning doubledqn in online social networks

X Zhuang, X Tong - … 13th International Congress on Image and …, 2020 - ieeexplore.ieee.org
The development of online social network has greatly promoted the interaction between
users. Trust plays an important role in social activities of social network, which can effectively …

Diffusing multi-aspects of local and global social trust for personalizing trust enhanced recommender system

KT Senthilkumar, R Ponnusamy - 2016 3rd International …, 2016 - ieeexplore.ieee.org
Recommender systems are an effective solution to the information overload problem,
especially in the World Wide Web where we gather vast information from anonymous people …

Controversy in Trust Networks

P Zicari, R Interdonato, D Perna, A Tagarelli… - Trust and Trustworthy …, 2016 - Springer
Given the increasing volume and impact of online social interactions in various aspects of
life, inferring how a user should be trusted becomes a matter of crucial importance, which …

Attention-based neural networks for trust evaluation in online social networks

Y Xu, Z Feng, X Zhou, M Xing, H Wu, X Xue, S Chen… - Information …, 2023 - Elsevier
Trust relationship prediction has gained a lot of interest in online social networks as it allows
users to escape complex analysis in decision-making. However, most existing work fail to …