Trust Relationship Prediction in Alibaba E-Commerce Platform

Volume: 32, Issue: 5, Pages: 1024 - 1035
Published: May 1, 2020
Abstract
This paper introduces how to infer trust relationships from billion-scale networked data to benefit Alibaba E-Commerce business. To effectively leverage the network correlations between labeled and unlabeled relationships to predict trust relationships, we formalize trust into multiple types and propose a graphical model to incorporate type-based dyadic and triadic correlations, namely eTrust. We also present a fast learning algorithm in order...
Paper Details
Title
Trust Relationship Prediction in Alibaba E-Commerce Platform
Published Date
May 1, 2020
Volume
32
Issue
5
Pages
1024 - 1035
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