User-Centric Intelligent Recommendations for E-Commerce Crowdfunding Success

This study explores how intelligent recommendation systems and platform governance mechanisms jointly influence crowdfunding success in the context of China's rapidly growing digital economy. Using 300 structured survey responses and behavioral data from 5,000 real-world crowdfunding projects, the study investigates the critical roles of recommendation transparency, perceived platform control, and user learning capability in shaping investor trust and engagement. Adopting a mixed-method empirical framework, the findings reveal that enhancing algorithmic transparency and platform governance significantly fosters trust, which in turn improves crowdfunding outcomes. These insights offer actionable implications for policymakers and platform designers seeking to strengthen financial inclusion and support SME financing in emerging digital markets. The study contributes to the evolving discourse on digital platform governance by providing practical strategies for improving trust-building mechanisms in FinTech ecosystems.