Update README.md

Author: godfanmiao

ST_DM/KDD2022-DuMapper/README.md

@@ -7,12 +7,12 @@ To save the tremendous labor costs, we devised DuMapper, an automatic system for
 
 ### How to run
 
-Deep multimodal embedding (DME) of a POI: This neural module takes the signboard image and the coordinates of a POI as input to generate its multimodal vector representation. 
+- Deep multimodal embedding (DME) of a POI: This neural module takes the signboard image and the coordinates of a POI as input to generate its multimodal vector representation. 
 
-Approximate nearest neighbor (ANN) search through the large-scale POI database: This module takes advantage of ANN algorithms to conduct a more accurate search through billions of archived POI embeddings in the database for verification within milliseconds.
+- Approximate nearest neighbor (ANN) search through the large-scale POI database: This module takes advantage of ANN algorithms to conduct a more accurate search through billions of archived POI embeddings in the database for verification within milliseconds.
 
-train.py: train and build DME model.
+- train.py: train and build DME model.
 
-infer.py: generate multimodal embedding of a POI.
+- infer.py: generate multimodal embedding of a POI for ANN search.