DRS

Deep recommendation system

회차	일시	내용	발표자	자료
1	12/14	(책) 1. Brave New Realtime World : Introduction	김성동
		(책) 2. Strange Recommendations? On the Weaknesses of Current Recommendation Engines	김성동
		(논문) Deep Reinforcement Learning in Large Discrete Action Spaces	김무성
2	12/21	(책) 3. Changing Not Just Analyzing: Control Theory and Reinforcement Learning (1)	김성근
		(논문) Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions	김무성
3	12/28	(책) 3. Changing Not Just Analyzing: Control Theory and Reinforcement Learning (2)	김성근
		(책) 4 Recommendations as a Game: Reinforcement Learning for Recommendation Engines	김무성
		(논문) Wide & Deep Learning for Recommender Systems	김성동
		(논문) Deep Neural Networks for YouTube Recommendations	김성동

논문 리스트

• Deep Reinforcement Learning in Large Discrete Action Spaces
  • https://arxiv.org/abs/1512.07679
• Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions
  • https://arxiv.org/abs/1512.01124
• Wide & Deep Learning for Recommender Systems
  • https://arxiv.org/pdf/1606.07792v1.pdf
• Deep Neural Networks for YouTube Recommendations
  • http://research.google.com/pubs/pub45530.html?utm_content=bufferf6bbc&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
  • http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45530.pdf
  • http://keunwoochoi.blogspot.kr/2016/09/deep-neural-networks-for-youtube.html
• Building and Evaluating an Adaptive Real-time Recommender System
  • http://uu.diva-portal.org/smash/get/diva2:758781/FULLTEXT01.pdf
• Conversational Recommendation System withUnsupervised Learning
  • http://papers.ai/1610.01546
• Autonomous CRM Control via CLV Approximation with Deep Reinforcement Learning in Discrete and Continuous Action Space
  • https://arxiv.org/abs/1504.01840
• Neural Network Based Next-Song Recommendation
  • http://papers.ai/1606.07722
• Off-policy evaluation for slate recommendation
  • http://papers.ai/1605.04812
• Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
  • https://arxiv.org/abs/1611.00454
• A Neural Autoregressive Approach to Collaborative Filtering
  • https://arxiv.org/abs/1605.09477
• Restricted Boltzmann Machines for Collaborative Filtering
  • http://www.machinelearning.org/proceedings/icml2007/papers/407.pdf
• An MDP-Based Recommender System
  • https://arxiv.org/pdf/1301.0600.pdf