Knowledge Enriched Approach for Effective Personalization. This project aims to integrate the strength of both knowledge and data to generate effective personalization using a novel neural-symbolic ma

Description

Knowledge Enriched Approach for Effective Personalization. This project aims to integrate the strength of both knowledge and data to generate effective personalization using a novel neural-symbolic machine learning approach. This project expects to solve several challenges in pure data driven approaches (e.g., data sparsity, data bias and lack of transparency) while leveraging the simplicity of heuristic-based approaches. Expected outcomes include a novel neural-symbolic approach for user modelling that is applicable to personalisation problems in a wide range of industries. This is expected to provide significant benefit to public organisations through enabling provision of personalised service by better understanding individual users (e.g., personalized learning and personalized medicine).. Scheme: Discovery Early Career Researcher Award. Field: 4605 - Data Management and Data Science. Lead: Dr Weiqing Wang