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Author: 鍾瑀芯
Yu-Hsin Chung
Thesis Title: 基於注意力機制及多模態圖之協同過濾推薦系統
Attention-Based Recommendation System with Multimodal Graph Collaborative Filtering
Advisor: 陳怡伶
Yi-Ling Chen
Committee: 戴碧如
Bi-Ru Dai
沈之涯
Chih-Ya Shen
Degree: 碩士
Master
Department: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
Thesis Publication Year: 2021
Graduation Academic Year: 109
Language: 英文
Pages: 42
Keywords (in Chinese): 圖卷積網路推薦系統協同過濾
Keywords (in other languages): Graph Convolutional Network, Recommendation System, Collaborative Filtering
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Abstract in Chinese Abstract in English Acknowledgements Contents List of Figures List of Tables 1 Introduction 2 Related Works 2.1 Collaborative Filtering 2.2 Graph Convolutional Networks 2.3 Attention-Based Mechanism 3 Model Framework 3.1 Problem Definition 3.2 High-order connectivity representations 3.3 Multimodal Graphs 3.4 Graph Convolutional Network 3.5 Attention-based LSTM 4 Experiments 4.1 Dataset Description 4.2 Experimental Settings 4.2.1 Evaluation Metrics 4.2.2 Baselines 4.2.3 Parameter Settings 4.3 Overall Comparison 4.4 Detailed Analysis of MGRS 4.4.1 Performance of different numbers of layers 4.4.2 Effectiveness of multimodal graph and attention-based LSTM 4.4.3 Multimodal graphs with/without type nodes 4.4.4 Running time analysis 4.4.5 Experiments with/without the duplicate data 5 Conclusion References

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