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研究生: 周崇翰
Chung-Han Zhou
論文名稱: 基於變分協同生成對抗網絡之推薦系統
VCGAN: Variational Collaborative Generative Adversarial Networks for Recommendation Systems
指導教授: 陳怡伶
Yi-Ling Chen
口試委員: 戴碧如
Bi-Ru Dai
沈之涯
Chih-Ya Shen
學位類別: 碩士
Master
系所名稱: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 39
中文關鍵詞: 推薦系統變分自編碼器生成對抗網絡邊際信息
外文關鍵詞: Top-N Recommendation, Variational Auto-encoder, Generative Adversarial Networks, Side Information
相關次數: 點閱:303下載:0
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Abstract in Chinese Abstract in English Acknowledgments Contents List of Figures List of Tables 1 Introduction 2 Related Works 2.1 Side Information in Recommendation Systems 2.2 VAE-based Recommendation Systems 2.3 GAN-based Recommendation Systems 3 Model 3.1 Overview of Framework 3.2 Extracting Implicit Feedback 3.3 Generating Predicted Items 3.3.1 Generative Adversarial Networks 3.3.2 Variational Inference 4 Experiments 4.1 Datasets 4.2 Evaluation Metrics 4.3 Implementation Details 4.4 Baseline 5 Analysis 5.1 Noise Analysis 5.2 Effectiveness of Implicit Feedback Extraction 5.3 Effectiveness of Variational Approach 6 Conclusion References

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