diff --git a/mlflow/2.11.1/22.03-lts-sp3/Dockerfile b/mlflow/2.11.1/22.03-lts-sp3/Dockerfile
index a92785f7b1ece70e1998c938d3c9c63dd982213e..8e903addfba6623e769527042750e200b9c6b4af 100644
--- a/mlflow/2.11.1/22.03-lts-sp3/Dockerfile
+++ b/mlflow/2.11.1/22.03-lts-sp3/Dockerfile
@@ -1,11 +1,19 @@
 ARG BASE=openeuler/openeuler:22.03-lts-sp3
+
 FROM ${BASE}
 
 ARG VERSION=2.11.1
+
 RUN yum install -y python3-pip && yum clean all
+
 RUN pip3 install mlflow==${VERSION} -i https://pypi.tuna.tsinghua.edu.cn/simple && \
     groupadd --gid 10001 mlflow && \
-    useradd --uid 10001 --gid mlflow --shell /bin/bash --create-home mlflow
+    useradd --uid 10001 --gid mlflow --shell /bin/bash --create-home mlflow && \
+    mkdir -p /mlflow && \
+    chown mlflow:mlflow /mlflow
 
 USER 10001
-CMD ["bash"]
+
+ENV MLFLOW_TRACKING_URI=/mlflow
+
+CMD ["mlflow", "server", "--backend-store-uri", "/mlflow", "--default-artifact-root", "/mlflow", "--host", "0.0.0.0"]
diff --git a/mlflow/README.md b/mlflow/README.md
index dbd5ebb23097896a6971843215ec60ad24b94709..a10b53531517e17b3203a858a1f1fd262ed746f2 100644
--- a/mlflow/README.md
+++ b/mlflow/README.md
@@ -10,7 +10,7 @@
 
 # Build reference
 
-1. Build images and push:
+1. Build images and push: (you may need to replace "openeuler" with your own repo name.)
 ```shell
 docker buildx build -t "openeuler/mlflow:$TAG" --platform linux/amd64,linux/arm64 . --push
 ```
@@ -18,8 +18,15 @@ docker buildx build -t "openeuler/mlflow:$TAG" --platform linux/amd64,linux/arm6
 We are using `buildx` in here to generate multi-arch images, see more in [Docker Buildx](https://docs.docker.com/buildx/working-with-buildx/)
 
 2. Run:
+
+Specify a port in your host so that you can access the Web UI at 127.0.0.1:{YOUR_PORT}.
+```shell
+docker run -it --name mlflow -p {YOUR_PORT}:5000 openeuler/mlflow:{TAG}
+```
+
+If you want to store the data permanently, use parameter ```-v``` to specify a volume such as ```mlruns```.
 ```shell
-docker run -it --name mlflow openeuler/mlflow:{TAG}
+docker run -it --name mlflow -p {YOUR_PORT}:5000 -v mlruns:/mlflow openeuler/mlflow:{TAG}
 ```
 
 # Supported tags and respective Dockerfile links