University of Technology Sydney

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.