| Proj No. | A3025-251 |
| Title | Enhancing Recommendation Systems by Integrating Large Language Models with Knowledge Graphs |
| Summary | This project aims to combine Large Language Models (LLMs) with Knowledge Graphs (KG) to enhance recommendation systems. By leveraging the semantic richness of KGs and the contextual understanding of LLMs, the system will provide more personalized and accurate recommendations. The LLM will process user queries and preferences, while the KG will offer a structured representation of relationships between entities. Integrating these two technologies will enable the system to capture both explicit and implicit user interests, improving recommendation relevance. This approach has the potential to revolutionize industries like e-commerce, media, and healthcare by delivering smarter, context-aware suggestions. |
| Supervisor | A/P Chen Lihui (Loc:S1 > S1 B1C > S1 B1C 96, Ext: +65 67904484) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | IEM Workshop (former Software Engineering) (Loc: S2.2-B4-04) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |