發(fā)簡信
IP屬地：安徽
-
論文筆記 | NIPS2017 | LightGBM: A Highly Efficient Gradient Boosting Decision Tree論文地址：https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradi...
-
論文筆記 | KDD2016 | XGBoost: A Scalable Tree Boosting System論文地址：https://arxiv.org/abs/1603.02754 官方代碼：https://github.com/dmlc/xgboo...
-
論文筆記 | KDD2014 | Practical Lessons from Predicting Clicks on Ads at Facebook論文地址：https://quinonero.net/Publications/predicting-clicks-facebook.pdf 一...
-
論文筆記 | NIPS2017 | DropoutNet: Addressing Cold Start in Recommender Systems論文地址：https://papers.nips.cc/paper/7081-dropoutnet-addressing-cold-start-...
-
論文筆記 | RecSys2019 | Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations論文地址：https://dl.acm.org/doi/abs/10.1145/3298689.3346996 一 為什么讀這篇 很早之前就收藏...
-
論文筆記 | RecSys2019 | Recommending what video to watch next: a multitask ranking system論文地址：https://dl.acm.org/doi/10.1145/3298689.3346997 一 為什么讀這篇 看完MMoE后接著看這...
-
論文筆記 | KDD2018 | Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Ex...論文地址：https://www.kdd.org/kdd2018/accepted-papers/view/modeling-task-rela...
-
論文筆記 | SIGIR2019 | Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to L...論文地址：https://arxiv.org/abs/1904.11547 官方代碼：https://github.com/Feiyang/Me...
-
論文筆記 | KDD2018 | Deep Interest Network for Click-Through Rate Prediction論文地址：https://arxiv.org/abs/1706.06978 官方代碼：https://github.com/zhougr1993...