Abstract: Systems and methods are provided for generating sets of candidates comprising images and places within a threshold geographic proximity based on geographic information associated with each of the plurality of images and geographic information associated with each place. For each set of candidates, the systems and methods generate a similarity score based on a similarity between text extracted from each image and a place name, and the geographic information associated with each image and each place. For each place with an associated image as a potential match, the systems and methods generate a name similarity score based on matching the extracted text of the image to the place name, and store an image as place data associated with a place based on determining that the name similarity score for the extracted text associated with the image is higher than a second predetermined threshold.

Abstract: Systems and methods are provided for receiving geographic coordinates for a location, determining a road segment associated with the location based on the geographic coordinates for the location, and determining a plurality of places associated with the road segment associated with the location. The systems and methods further provide for extracting visual data for each of the plurality of places, generating a plurality of feature values based on the visual data for each of the plurality of places, and analyzing the plurality of feature values to generate a visibility score for each of the plurality of places.

Abstract: Systems and methods are provided for generating a places dataset comprising place data from multiple data sources each having a plurality of place data. Based on the places dataset, the systems and methods generate local clusters comprising places located within a predetermined distance, generate probable pairs of places in each local cluster, and distribute the probable pairs to one or more processors to determine similar edges between one or more places in each local cluster based on a plurality of combined similarity measures indicating whether or not a place is similar to another place. The systems and methods further generate similar pairs based on the combined similarity measures and convert the similar pairs into connected components comprising groups of similar places based on a best similar edge from all the candidates for a group of similar places.

Abstract: Systems and methods are provided for generating sets of candidates comprising images and places within a threshold geographic proximity based on geographic information associated with each of the plurality of images and geographic information associated with each place. For each set of candidates, the systems and methods generate a similarity score based on a similarity between text extracted from each image and a place name, and the geographic information associated with each image and each place. For each place with an associated image as a potential match, the systems and methods generate a name similarity score based on matching the extracted text of the image to the place name, and store an image as place data associated with a place based on determining that the name similarity score for the extracted text associated with the image is higher than a second predetermined threshold.

Abstract: Systems and methods are provided for generating sets of candidates comprising images and places within a threshold geographic proximity based on geographic information associated with each of the plurality of images and geographic information associated with each place. For each set of candidates, the systems and methods generate a similarity score based on a similarity between text extracted from each image and a place name, and the geographic information associated with each image and each place. For each place with an associated image as a potential match, the systems and methods generate a name similarity score based on matching the extracted text of the image to the place name, and store an image as place data associated with a place based on determining that the name similarity score for the extracted text associated with the image is higher than a second predetermined threshold.

Abstract: Systems and methods are provided for accessing at least one data store comprising activity points for a first place and determining selected activity points to use to generate one or more area of influence (AOI) geometries. The systems and methods further provide for generating one or more AOI geometries using the selected activity points and using an AOI tuple associated with the first place, by performing operations comprising generating one or more clusters of data points corresponding to the selected activity points and generating one or more polygons for each of the one or more clusters of data points. The one or more AOI geometries are associated with the first place, each of the one or more AOI geometries comprising each of the one or more polygons.

Abstract: Systems and methods are provided for generating a plurality of cells representing a geographical area, where each cell of the plurality of cells comprises a plurality of address points representing addresses in the cell, and normalizing each address corresponding to each address point into a hierarchical structure of address components. The systems and methods further provide for traversing a hierarchical structure of address components for address points in a first cell to determine address components that are different between address points in the first cell, and for each address component that is different between address points in the first cell, generating an anonymized address component using a common prefix for the address component or a combination of address components. An anonymized address is generated for the first cell comprising at least one anonymized address component, and the anonymized address is stored for the first cell.

Abstract: Systems and methods are provided for receiving geographic coordinates for a location, determining a road segment associated with the location based on the geographic coordinates for the location, and determining a plurality of places associated with the road segment associated with the location. The systems and methods further provide for extracting visual data for each of the plurality of places, generating a plurality of feature values based on the visual data for each of the plurality of places, and analyzing the plurality of feature values to generate a visibility score for each of the plurality of places.

Abstract: Systems and methods are provided for generating sets of candidates comprising images and places within a threshold geographic proximity based on geographic information associated with each of the plurality of images and geographic information associated with each place. For each set of candidates, the systems and methods generate a similarity score based on a similarity between text extracted from each image and a place name, and the geographic information associated with each image and each place. For each place with an associated image as a potential match, the systems and methods generate a name similarity score based on matching the extracted text of the image to the place name, and store an image as place data associated with a place based on determining that the name similarity score for the extracted text associated with the image is higher than a second predetermined threshold.

Abstract: Systems and methods are provided for generating a places dataset comprising place data from multiple data sources each having a plurality of place data. Based on the places dataset, the systems and methods generate local clusters comprising places located within a predetermined distance, generate probable pairs of places in each local cluster, and distribute the probable pairs to one or more processors to determine similar edges between one or more places in each local cluster based on a plurality of combined similarity measures indicating whether or not a place is similar to another place. The systems and methods further generate similar pairs based on the combined similarity measures and convert the similar pairs into connected components comprising groups of similar places based on a best similar edge from all the candidates for a group of similar places.