A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information
2022
Sensors
Social-network-based recommendation algorithms leverage rich social network information to alleviate the problem of data sparsity and boost the recommendation performance. However, traditional social-network-based recommendation algorithms ignore high-order collaborative signals or only consider the first-order collaborative signal when learning users' and items' latent representations, resulting in suboptimal recommendation performance. In this paper, we propose a graph neural network
doi:10.3390/s22197122
pmid:36236218
pmcid:PMC9571652
fatcat:u6bscs5blfdnxo3rool5tjqe3y