Update README.md (#4739)

PaddleST/Research/KDD2020-P3AC/README.md

-# P3AC
-
-## 任务说明(Introduction)
-
-TODO
-
-## 安装说明(Install Guide)
-
-### 环境准备
-
-1. paddle安装
-
-    本项目依赖于Paddle Fluid 1.6.1 及以上版本，请参考[安装指南](http://www.paddlepaddle.org/#quick-start)进行安装
-
-2. 下载代码
-
-    克隆数据集代码库到本地, 本代码依赖[Paddle-EPEP框架](https://github.com/PaddlePaddle/epep)
-    ```
-    git clone https://github.com/PaddlePaddle/epep.git
-    cd epep
-    git clone https://github.com/PaddlePaddle/models.git
-    ln -s models/PaddleST/Research/KDD2020-P3AC/conf/poi_qac_personalized conf/poi_qac_personalized
-    ln -s models/PaddleST/Research/KDD2020-P3AC/datasets/poi_qac_personalized datasets/poi_qac_personalized
-    ln -s models/PaddleST/Research/KDD2020-P3AC/nets/poi_qac_personalized nets/poi_qac_personalized
-    ```
-
-3. 环境依赖
-
-    python版本依赖python 2.7
-
-
-### 实验说明
-
-1. 数据准备
-
-    TODO
-    ```
-    #script to download 
-    ```
-
-2. 模型训练
-
-    ```
-    cp conf/poi_qac_personalized/poi_qac_personalized.local.conf.template conf/poi_qac_personalized/poi_qac_personalized.local.conf
-    sh run.sh -c conf/poi_qac_personalized/poi_qac_personalized.local.conf -m train [ -g 0 ]
-    ```
-
-3. 模型评估
-    ```
-    pred_gpu=$1
-    mode=$2 #query, poi, eval
-
-    if [ $# -lt 2 ];then
-        exit 1
-    fi
-
-    #编辑conf/poi_qac_personalized/poi_qac_personalized.local.conf.template，打开 CUDA_VISIBLE_DEVICES: <pred_gpu>
-    cp conf/poi_qac_personalized/poi_qac_personalized.local.conf.template conf/poi_qac_personalized/poi_qac_personalized.local.conf
-    sed -i "s#<pred_gpu>#$pred_gpu#g" conf/poi_qac_personalized/poi_qac_personalized.local.conf
-    sed -i "s#<mode>#$mode#g" conf/poi_qac_personalized/poi_qac_personalized.local.conf
-
-    sh run.sh -c poi_qac_personalized.local -m predict 1>../tmp/$mode-pred$pred_gpu.out 2>../tmp/$mode-pred$pred_gpu.err
-    ```
-
-## 论文下载(Paper Download)
-
-Please feel free to review our paper :)
-
-TODO
-
-## 引用格式(Paper Citation)
-
-TODO
-
-
+Moved to https://github.com/PaddlePaddle/Research/tree/master/ST_DM/KDD2020-P3AC