Skip to content

Trust and distrust enhanced recommendation algorithm for signed social networks

Jul 2026 · International Journal of Machine Learning and Cybernetics · Vol 17 · 0 citations · 49 references
Computer Science

TL;DR

A Trust and Distrust Enhanced Recommendation (TDER) algorithm for signed social networks is proposed, which captures higher quality trust and distrust embeddings and improves recommendation performance in signed social networks.

View source

Similar papers

Aug 2026

Graph-based social recommendation with redundant information suppression

A social relationship adjustment loss function, which dynamically adjusts the weights of social connections, and the Hilbert-Schmidt independence criterion loss function, which reduces the dependence between pre- and post-adjusted user/item embeddings, thereby amplifying the effect of adjusted social relationships on t...

Shu-Run Zuo, Heng-Ru Zhang, Yuan-Yuan Xu · 0 citations
Open access Jul 2026

ASRA-GNN: ADAPTIVE SIGNED RELATION-AWARE GRAPH NEURAL NETWORK FOR FRIEND RECOMMENDATION

ASRA-GNN addresses gaps in Signed Graph Neural Networks through three contributions: Sign-Aware Structural Role Attention grounded in four social network theories, a Locally Adaptive Theory Mixing gate replacing TrustSGCN's binary global threshold with a continuous per-node end-toend learned mixing function, and a Sign...

Pharsana Parveen M, Stanis Arul Mary A · 0 citations
Book Open access Aug 2026

When to Trust Whom: A Context-Aware Graph Routing Mechanism for Information Diffusion Prediction

CARD, a context-aware routing framework that replaces static fusion with step-wise evidence arbitration, is proposed, a context-aware routing framework that achieves state-of-the-art accuracy and stronger robustness.

Zi-Han Feng, Yajun Yang, Rui Wu et al. · 0 citations
Book Open access Aug 2026

Embedding-Space Orthogonal Decomposition for Robust Social Recommendation

Orthogonal Decomposition for Social Recommendation (ODSR) is proposed, an embedding-space framework that orthogonally decomposes the aggregated social message into an aligned component and an orthogonal deviation, and learns a dimension-wise vector gate to regulate the deviation under ranking supervision.

Rongfeng Guo, Yinxuan Huang, Wei Chen et al. · 0 citations
Preprint Aug 2026

RepuLink: A Linked Data Platform for Accountable Trust

This paper demonstrates RepuLink-Tool, a deployable, full-stack reference implementation of this model, and introduces a new Linked Data layer built on top of the application that provides an on-the-fly RDF projection of each user's trust network in multiple serialisations.

Wenbo Wu, George Konstantinidis · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.