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2021
2021 Spring Special Lectures on Databases (Recsys)
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2021 Spring Special Lectures on Databases (Recsys)
Last modified by
Seongjae Kim
on 2021/06/09 10:23
01. Intro to RecSys - full.pdf
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02. Content-Based Recommendation.pdf
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on 2021/05/29 08:40
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03. Neighborhood-Based CF.pdf
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on 2021/05/29 08:40
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04. Model-Based CF.pdf
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05. Hybrid RS & Evaluations.pdf
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on 2021/05/29 08:27
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06. Context Aware Recommendation.pdf
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on 2021/05/29 08:27
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07. Deep Learning for RecSys.pdf
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Seongjae Kim
on 2021/05/29 08:27
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Commercial Recommender Systems.pdf
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Seongjae Kim
on 2021/05/26 09:59
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DataMiningForRS.pdf
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Seongjae Kim
on 2021/05/29 08:42
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p18. Collaborative filtering with temporal dynamics.pdf
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Seongjae Kim
on 2021/03/08 19:28
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p19. LARS, A location-aware recommender system.pdf
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Seongjae Kim
on 2021/03/08 19:28
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p20. Neural collaborative filtering.pdf
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on 2021/03/08 19:28
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p21. VBPR, Visual Bayesian Personalized Ranking from Implicit Feedback.pdf
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on 2021/03/08 19:28
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p22. DeepFM, A Factorization-Machine based Neural Network for CTR Prediction.pdf
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Seongjae Kim
on 2021/03/08 19:28
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p23. Session-based recommendations with recurrent neural networks.pdf
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on 2021/03/08 19:28
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p24. IRGAN, A Minimax Game for Unifying Generative and Discriminative IR Models.pdf
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Seongjae Kim
on 2021/03/08 19:28
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p25. Attention-Based Transactional Context Embedding for Next-Item Recommendation.pdf
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Seongjae Kim
on 2021/03/08 19:28
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p26. Self-Attentive Sequential Recommendation.pdf
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on 2021/03/08 19:28
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p27. Neural Graph Collaborative Filtering.pdf
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on 2021/03/08 19:29
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p28. BERT4Rec, Sequential Recommendation with Bidirectional Encoder Representations from Transformer.pdf
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Seongjae Kim
on 2021/03/08 19:29
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p29. Learning to recommend with social trust ensemble.pdf
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Seongjae Kim
on 2021/03/08 19:29
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p30. Explaining collaborative filtering recommendations.pdf
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Seongjae Kim
on 2021/03/08 19:29
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p31. DeepStyle, Learning User Preferences for Visual Recommendation.pdf
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on 2021/03/08 19:29
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p32. Deep neural networks for youtube recommendations.pdf
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Seongjae Kim
on 2021/03/08 19:29
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prj1_base_code.zip
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Seongjae Kim
on 2021/03/17 14:08
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prj1_v1.pdf
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on 2021/03/17 14:08
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prj3_data.zip
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on 2021/05/23 22:36
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prj3_v1.pdf
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Seongjae Kim
on 2021/05/23 22:36
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고병현 - A Framework for Collaborative, Content-Based and Demographic Filtering.pdf
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Seongjae Kim
on 2021/05/29 08:27
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고병현 -IRGAN A Minimax Game for Unifying Generative and Discriminative IR Models.pdf
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Seongjae Kim
on 2021/05/24 10:58
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권영천_2019-31018_FactorizationMachine.pdf
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Seongjae Kim
on 2021/05/29 08:28
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권영천_210531_BERT4REC.pdf
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Seongjae Kim
on 2021/05/31 11:00
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김연아_p03. Integrating tags in a semantic content-based recommender.pdf
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Seongjae Kim
on 2021/03/24 11:07
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김연아_p22. DeepFM.pdf
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on 2021/05/17 14:00
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김연아_p30. ExplainingCFR.pdf
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Seongjae Kim
on 2021/06/02 10:22
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김재용_Integrating Tags in a Semantic Content-based Recommender.pdf
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Seongjae Kim
on 2021/03/24 11:07
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김재용_IRGAN.pdf
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on 2021/05/24 10:58
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김재용_LARS_202025153.pdf
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on 2021/05/29 08:38
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김정우_Multiverse_rec_201924822.pptx
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on 2021/05/29 08:28
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김정우_NGCF_2019_24822.pptx
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on 2021/05/31 11:00
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김정우_Youtube_2019_24822.pptx
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Seongjae Kim
on 2021/06/09 10:21
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김종진_p25_Attention-Based Transactional Context Embedding for Next-Item Recommendation.pdf
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Seongjae Kim
on 2021/06/07 10:07
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김지연_Using Data Mining Methods to Build Customer Profiles.pdf
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Seongjae Kim
on 2021/03/22 09:10
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김형준_DeepStyle Learning User Preferences for Visual Recommendation.pdf
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Seongjae Kim
on 2021/06/09 10:21
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김형준_Using Data Mining Methods to Build Customer Profiles.pdf
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Seongjae Kim
on 2021/03/22 09:10
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김형준_VBPR.pdf
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Seongjae Kim
on 2021/05/17 14:00
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나현수_2020-21976_Seminar_1.pdf
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on 2021/03/22 09:10
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나현수_DeepStyle.pdf
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on 2021/06/09 10:21
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나현수_Neural_Collaborative_Filtering.pdf
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on 2021/05/29 08:38
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문상우_RSTE.pdf
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Seongjae Kim
on 2021/06/02 10:22
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박민주_Deep Neural Networks for YouTube Recommendations.pdf
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Seongjae Kim
on 2021/06/09 10:21
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박민주_Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent.pdf
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Seongjae Kim
on 2021/05/29 08:28
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박민혜 발표 2021-04-21.pptx
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Seongjae Kim
on 2021/05/29 08:29
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박민혜 발표 2021-05-12.pptx
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Seongjae Kim
on 2021/05/29 08:38
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박충현_Attention-Based Transactional Context Embedding for Next-Item Recommendation.pdf
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Seongjae Kim
on 2021/06/07 10:07
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박충현_Case-Based Recommendation.pptx
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Seongjae Kim
on 2021/03/24 11:10
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박충현_Session-based recommendations with recurrent neural networks.pptx
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Seongjae Kim
on 2021/05/24 10:58
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성기홍_RS_Presentation.pptx
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Seongjae Kim
on 2021/05/24 10:58
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성기홍_RS_Presentation_TimeSVD.pptx
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Seongjae Kim
on 2021/05/29 08:29
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손영준_Collaborative Filtering for Implicit Feedback Datasets_202025924.pdf
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Seongjae Kim
on 2021/05/29 08:29
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손영준_Explaining collaborative filtering recommendations.pdf
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Seongjae Kim
on 2021/06/02 10:22
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신윤열_Content-Based Book Recommending Using Learning for Text Categorization.pptx
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Seongjae Kim
on 2021/03/22 09:11
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신윤열_Neural Graph Collaborative Filtering.pptx
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Seongjae Kim
on 2021/05/31 11:00
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신윤열_VBPR_202024622.pptx
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Seongjae Kim
on 2021/05/17 14:00
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안규수_Collaborative Filtering with Temporal Dynamics.pdf
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Seongjae Kim
on 2021/05/29 08:28
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윤희승_CFforImplicitFeedback_RecSys2021.pdf
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Seongjae Kim
on 2021/05/29 08:28
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윤희승_FactorizationMachines_Heeseung_Yun_RecSys2021.pdf
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Seongjae Kim
on 2021/05/29 08:29
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윤희승_NeuralGCF_RecSys2021.pdf
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Seongjae Kim
on 2021/05/31 11:01
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이원도_데이터베이스특강 20210607.pdf
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Seongjae Kim
on 2021/06/07 10:07
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정현우_BERT4Rec.pdf
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Seongjae Kim
on 2021/05/31 11:01
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정현우_paper_19_ LARS_ A Location-Aware Recommender System.pdf
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Seongjae Kim
on 2021/05/29 08:38
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정현우_Session-Based Recommendations with Recurrent Neural Networks.pdf
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Seongjae Kim
on 2021/05/24 10:58
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최영은_LARS_Recsys.pdf
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Seongjae Kim
on 2021/05/29 08:38
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최현지_DeepFM.pdf
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Seongjae Kim
on 2021/05/17 14:00
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최현지_SASRec.pdf
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Seongjae Kim
on 2021/06/07 10:07
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최현지_Tensor_Factorization_Hyunji.pdf
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Seongjae Kim
on 2021/05/29 08:28
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한민희_06-02.pdf
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Seongjae Kim
on 2021/06/02 10:22
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한민희_210324 Case-Based Recommendation.pptx
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Seongjae Kim
on 2021/03/24 11:10
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한민희_[데이터베이스특강]05-12.pdf
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Seongjae Kim
on 2021/05/29 08:38
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