原创 #Paper Reading# Personalized Context-aware Re-ranking for E-commerce Recommender Systems

論文題目: Personalized Context-aware Re-ranking for E-commerce Recommender Systems 論文地址: https://arxiv.org/abs/1904.06813 論

原创 #Paper Reading# Learnable pooling with Context Gating for video classification

論文題目: Learnable pooling with Context Gating for video classification 論文地址: https://arxiv.org/abs/1706.06905 論文發表於: arXi

原创 #Paper Reading# PyTorch-BigGraph: A Large-scale Graph Embedding Framework

論文題目: PyTorch-BigGraph: A Large-scale Graph Embedding Framework 論文地址: https://arxiv.org/abs/1903.12287 論文發表於: SysML 201

原创 新的abtest方法: Innovating Faster on Personalization Algorithms at Netflix Using Interleaving

1. 我們在線上做實驗的時候,常常會用到abtest,來確定線上效果。而我們的abtest方法,往往就是對用戶進行分組,對於相同比例的隨機用戶,進行效果比較。這種方法有個前提/假定,就是各組隨機用戶的分佈是完全一樣的。當然,一般情況下(如

原创 #Paper Reading# Class-Balanced Loss Based on Effective Number of Samples

論文題目: Class-Balanced Loss Based on Effective Number of Samples 論文地址: http://openaccess.thecvf.com/content_CVPR_2019/htm

原创 #Paper Reading# On the Measure of Intelligence

論文題目: On the Measure of Intelligence 論文地址: https://arxiv.org/pdf/1911.01547.pdf 論文發表於: arxiv 論文大體內容: 這篇論文比較有趣,作者主要討論了怎麼