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Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning

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Academic year: 2020

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Figure

Figure 2: Illustration of the Query-POI relevance model. It has six layers. For a Query-POI pair, the model first splits theirtexts and locations into multiple attributes
Table 1: The basic statistics of the datasets.
Figure 3: Two-dimensional t-SNE projection of the d-dimensional geographic vectors of POIs
Figure 5: Training loss on Dataset A.

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