# 04-13 Meeting ## Citation NN Train全部的Accuracy ![](https://i.imgur.com/TWMyl20.png) 最多reference的一篇有81個 ![](https://i.imgur.com/jgrgI6r.png) 當accuracy接近1後 ![](https://i.imgur.com/dnC9ZBv.png) Train MAP ![](https://i.imgur.com/1Ai2O7d.png) ## Embedding NN Loss = Cosine ![](https://i.imgur.com/WrC1WzK.png) Loss = MAE ![](https://i.imgur.com/gDGcoUz.png) Test 2015AAAI (MAE model) ![](https://i.imgur.com/7TG5Iwz.png) Cosine version ![](https://i.imgur.com/VswhMG5.png) ## Rolling train 目前正在嘗試 <!-- ![](https://i.imgur.com/dnC9ZBv.png) Rolling paper_emb ![](https://i.imgur.com/ZpwcR0U.png) Rolling test MAP ![](https://i.imgur.com/39RoqGK.png) ![](https://i.imgur.com/uLaRIsf.png) -->