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View all- Kang SAn GYoo S(2024)A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault LocalizationProceedings of the ACM on Software Engineering10.1145/36607711:FSE(1424-1446)Online publication date: 12-Jul-2024
Nowadays, it is challenging for college students or lifelong education learners to choose the courses they need under the constant growth of massive online course resources. Therefore the recommendation systems are used to meet their personalized ...
With the explosive increase of information, recommendation system is applied in a variety of areas. However, the performance of recommendation system is limited due to issues such as data sparsity, cold starts and poor semantic understanding. In order to ...
Graph neural networks have demonstrated impressive performance in the field of recommender systems. However, existing graph neural network recommendation approaches are proficient in capturing users’ mainstream interests and recommending popular ...
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