In this paper, we propose a Dynamic Local–Global Trust-aware Recommendation (DLGTR) approach, which uses a new hybrid model of local and global trust.

A new hybrid model of local and global trust for recommender systems. •. Local and global trust models are dynamically integrated based on their reliability.

In this hybrid model, the relative importance of local trust versus global trust is dynamically determined based on the reliability of information from the two ...

TL;DR: This paper develops a joint personal and social latent factor (PSLF) model that combines the state-of-the-art collaborative filtering and the social ...

A dynamic local–global trust-aware recommendation approach. FS Gohari, FS Aliee, H Haghighi. Electronic Commerce Research and Applications 34, 100838, 2019. 17 ...

Oct 22, 2024 · Experimental results show that the proposed approach is more effective and efficient than several state-of-the-art recommendation approaches.

Local Trust metrics take into account the very personal and subjective views of the users and end up predicting different values of trust in other users for ...

Trust-aware recommender systems have been widely used in recent years to improve the performance of traditional collaborative filtering systems.

Collaborative recommendation approach finds the similarity index for the users by keeping a close eye on their prior ratings with the supposition that the ...