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ST_DM/KDD2022-DuMapper/README.md

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### How to run
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DME:
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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.
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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.
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ANN:
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train.py: train and build DME model.
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infer.py: generate multimodal embedding of a POI.

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