Skip to main content
King Abdullah University of Science and Technology
Communication and Computing Systems Lab
CCSL
Communication and Computing Systems Lab
  • Home
  • People
    • All Profiles
    • Principal Investigator
    • Postdoctoral Fellows
    • Research Scientists
    • Research Staff
    • Students
    • Alumni
    • Former Members
  • Research
    • Wireless Communication
    • Body Area Network
    • AI Accelerator
    • All Projects
  • Publications
    • Publications
    • Google Scholar
    • DBLP
    • IEEE Xplore
    • KAUST Repository
    • ORCID
  • Events
  • Media Gallery
  • Contacts
  • Join us

text and data analytics

On Knowledge Graph and Causality for Recommender Systems

Prof. Guandong Xu, School of Software and Advanced Analytics Institute, University of Technology Sydney

Apr 30, 14:00 - 15:00

B1 L4 R4214

text and data analytics data science data mining University of Technology Sydney

Knowledge Graph (KG) is a large-scale semantic network consisting of entities/concepts as well as the semantic relationships among them, which could be considered as a concise version of Semantic Web. Recently KG is emerging as a hot topic of knowledge discovery and management under artificial intelligence, facilitating semantic computing. Causal relation is a reflection of user behaviours with backend intention, which is related another emerging hot topic – recommendation interpretability. This talk will cover the recent research progresses in these two areas and highlight some open research challenges in recommender systems.

Communication and Computing Systems Lab (CCSL)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice