章节
21 个页面
论文
STAN
CHAML
【Paper】DIN模型
【Paper】Entire Space Multi-Task Model-An Effective Approach for Estimating Post-Click Conversion Rate
【Paper】Wide & Deep Learning for Recommender Systems
【paper】AutoRec - Autoencoders Meet Collaborative Filtering
【Paper】Deep Neural Networks for YouTube Recommendations
【Paper】Factorization Machines
【Paper】Matrix Factorization Techniques for Recommender Systems
【Paper】Amazon.com Recommendations Item-to-Item Collaborative Filtering
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