Skip to content
conftrace_
2020 AAAI AAAI 2020

Personalized Prediction of Trust Links in Social Networks (Student Abstract)

Abstract

Abstract In this paper we show how integrating both domain specific and generic trust indicators into a prediction of trust links between users in social networks can improve upon methods for recommending content to users and how clustering of users to deliver personalized solutions offers even greater advantages.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Data Science & Analytics

Authors

Alexandre Parmentier, Robin Cohen

Topics

Machine Learning > Core Methods > Clustering Data Science & Analytics > Applications > Recommender Systems Machine Learning > Learning Types > Multi-Task Learning

Keywords

social network analysis social network user clustering recommender system trust prediction personalized recommendation trust link prediction
Download PDF

More from AAAI 2020

All AAAI 2020 papers →
Transformer-Capsule Model for Intent Detection (Student Abstract)
How to Predict Seawater Temperature for Sustainable Marine Aquaculture (Student Abstract)
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract)
Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract)
Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract)
Attribute Noise Robust Binary Classification (Student Abstract)