Leveraging 6G IoT Cloud Computing Platforms for Personalized Recommendations in E-Commerce

EasyChair Preprint 14940

Abstract

The rapid evolution of e-commerce has been fueled by advancements in wireless communication and data-driven technologies. As we move toward the next-generation network, 6G, the integration of Internet of Things (IoT) devices and cloud computing promises unprecedented opportunities for personalized recommendations in e-commerce. This paper explores the potential of leveraging 6G-enabled IoT cloud computing platforms to deliver highly accurate, real-time, and context-aware recommendations tailored to individual users. Through the convergence of 6G’s ultra-low latency, massive connectivity, and enhanced data processing capabilities, IoT devices can seamlessly collect and transmit data on user behavior, preferences, and environmental factors to cloud platforms. These platforms, powered by artificial intelligence (AI) and machine learning (ML) algorithms, can analyze vast amounts of user data and generate personalized product recommendations. The study highlights the architecture, challenges, and benefits of deploying 6G IoT cloud computing systems in e-commerce, including improved user engagement, higher conversion rates, and enhanced customer satisfaction. Furthermore, it examines the ethical and privacy considerations of handling sensitive user data in such environments. This research concludes that 6G IoT cloud computing has the potential to revolutionize personalized e-commerce experiences, driving a more intelligent, user-centric, and adaptive marketplace.

Keyphrases: AR/VR in E-Commerce, Data-driven insights, IoT Ecosystem, Predictive Analytics, Smart Home Integration, customer experience, data integration, data privacy regulations

@booklet{EasyChair:14940,
  author    = {John Owen},
  title     = {Leveraging 6G IoT Cloud Computing Platforms for Personalized Recommendations in E-Commerce},
  howpublished = {EasyChair Preprint 14940},
  year      = {EasyChair, 2024}}