LightGCNxGPT: integrating LightGCN with GPT for enhanced personalised recommendations and explainability in recommender systems
Recommendation systems have emerged as a pivotal tool in shaping our daily choices. Traditional systems face many challenges in providing users with accurate recommendations, especially when there is limited data. Furthermore, these systems fail to provide users with explanations for the recommendat...
Saved in:
Main Author: | Tiyyagura, Rochana |
---|---|
Other Authors: | Liu Siyuan |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175242 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
LLM4Vis: Explainable visualization recommendation using ChatGPT
by: WANG, Lei., et al.
Published: (2023) -
Intelligent recruitment system using deep learning with ChatGPT
by: Lim, Timothy Zhong Zheng
Published: (2024) -
Experience Report: Identifying common misconceptions and errors of novice programmers with ChatGPT
by: FWA, Hua Leong
Published: (2024) -
Exploratory Customer Discovery Through Simulation Using ChatGPT and Prompt Engineering
by: Ilagan, Joseph Benjamin R, et al.
Published: (2024) -
Finding RESTful API vulnerabilities using ChatGPT
by: Ho, Kenneth Jun Minn
Published: (2024)