推荐系统入门必读10篇经典论文.zip
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2020-05-28
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推荐系统入门必读10篇经典论文.zip （12个子文件） 
推荐系统入门必读10篇经典论文 
Zhou et al. - 2018 - Deep Interest Network for Click-Through Rate Prediction Guorui.pdf 7.73MB Item2Vec Neural Item Embedding for Collaborative Filtering .pdf 989KB Cheng et al. - 2016 - Wide & Deep Learning for Recommender Systems.pdf 400KB McMahan et al. - 2013 - Ad click prediction.pdf 1.21MB Linden, Smith - 2003 - Amazon.com Recommendations Item-to-Item Collaborative Filtering.pdf.pdf 359KB Rendle - 2010 - Factorization machines.pdf 277KB He et al. - 2014 - Practical Lessons from Predicting Clicks on Ads at Facebook.pdf 774KB Li et al. - 2019 - Multi-Interest Network with Dynamic Routing for Recommendation at Tmall.pdf 1.28MB Covington, Adams, Sargin - 2016 - Deep Neural Networks for YouTube Recommendations.pdf 877KB Sampling-Bias-Corrected+Neural+Modeling+for+Large+Corpus+Item+Recommendations.pdf 1.01MB
论文介绍.jpeg 481KB The_Use_MMR_Diversity_Based_LTMIR_1998.pdf 274KB资源评论
