Content Personalization Framework for Efficient and Accurate Customer Experience

Overview

It is an AI-based solution framework to help digital marketers automatically analyze all kinds of data and their relations, and provide personalized content delivery to customers. Content personalization framework uses AI and Multi-Modal Knowledge Graph (MMKG) technologies to integrate products and customer information and provides personalized recommendations and content generation to help companies better connect customers and improve customer’s experience.

  • Content Personalization Framework for Efficient and Accurate Customer Experience 0
Research completion
2024
Commercialisation opportunities
IP licensing, Technology co-development
Problem addressed

Personalization is the most important digital marketing trend and needs to cross the whole customer journey: from personalized recommendation to personalized content delivery. Currently, more than 80% of marketers claim creating personalized content is their most significant challenge.

Innovation
  • AI and Multi-Modal Knowledge Graph (MMKG) technologies to integrate products and customer information, including text, images, historical behavior, Spatial-temporal information, etc
  • Personalized recommendations based on graph deep learning algorithms
  • Personalized content generation based on graph analytics algorithms
Key impact
  • Tackles the complexities and time consumption of Pay-Per-Click (PPC) campaign optimization by providing step-by-step, AI-driven recommendations and detailed performance reports.
  • Enables marketers to leverage AI to create and analyse ad banners, streamlining a traditionally labour-intensive process and showcasing a cost-effective deployment of resources and technologies.
  • With the ability to perform real-time data acquisition and processing, as well as context-relevant information extraction, it provides timely and highly relevant insights, which are crucial for digital advertising.
Award
  • Geneva International Exhibition of Inventions 2022 - Silver Medal
Application
  • Multi-Channel Data Acquisition and Real-time Processing
  • Personalized Content Generation and Recommendation
  • AI-Powered Ad Banner Generation and Analysis

Patent

  • US Patent No: US11528232B1 CN Patent No: CN113950671A
  • US Patent No: US12236457B2 CN Patent No: CN116171451
  • US Patent Application No: 18/481,851 CN Patent Application No: 202380012115.X
Hong Kong Applied Science and Technology Research Institute (ASTRI)

Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under four Technology Divisions: Trust and AI Technologies; Communications Technologies; IoT Sensing and AI Technologies and Integrated Circuits and Systems. It is applied across six core areas which are Smart City, Financial Technologies, New-Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits and Metaverse.

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