Abstract: The technology disclosed relates to systems and methods for generating a multi-part place identifier with at least one part. The system includes logic to receive a location address and a place name wherein the location address is a validated address. The system includes logic to calculate a geocode for the location address and use the geocode to identify a geometrical boundary encompassing the location address. The system includes logic to convert the identified geometrical boundary to an alpha-numeric identifier forming a Where part of the multi-part place identifier. The system can use an input location address or a place name to match a previously generated and stored multi-part place identifier. The system can provide the generated or matched multi-part place identifier to a user for use in further analysis.

Abstract: The technology disclosed relates to systems and methods for finding a multi-part place identifier with at least one part. The system includes logic to receive an input including an input location address and validate the input location address (e.g., using coding accuracy support system or CASS). The system includes logic to access a database storing records of validated addresses and corresponding multi-part place identifiers using the validated address. The system includes logic to match the validated input address to an address in the stored records in the database and retrieve corresponding matched multi-part place identifier with at least a Where part. The Where part includes an alpha numeric identifier indicating a geometrical boundary for the matched validated input address. The system can provide the matched multi-part place identifier with at least the Where part to a user for use in further analysis.

Abstract: The technology disclosed relates to deduplicating metadata about places. A feature generator module is configured to generate features for metadata profiles. The metadata profiles represent a plurality of places. The features are based on geohash strings and word embeddings generated for the metadata profiles. A diff generator module is configured to generate diff vectors that pair-wise encode results of comparison between features of paired metadata profiles. A classification module is configured to generate similarity scores for the paired metadata profiles based on the diff vectors. A particular similarity score indicates whether metadata profiles in a particular pair of metadata profiles represent a same place.

Abstract: The technology disclosed relates to systems and methods for generating a multi-part place identifier with at least one part. The system includes logic to receive a location address and a place name wherein the location address is a validated address. The system includes logic to calculate a geocode for the location address and use the geocode to identify a geometrical boundary encompassing the location address. The system includes logic to convert the identified geometrical boundary to an alpha-numeric identifier forming a Where part of the multi-part place identifier. The system can use an input location address or a place name to match a previously generated and stored multi-part place identifier. The system can provide the generated or matched multi-part place identifier to a user for use in further analysis.

Abstract: The technology disclosed relates to systems and methods for finding a multi-part place identifier with at least one part. The system includes logic to receive an input including an input location address and validate the input location address (e.g., using coding accuracy support system or CASS). The system includes logic to access a database storing records of validated addresses and corresponding multi-part place identifiers using the validated address. The system includes logic to match the validated input address to an address in the stored records in the database and retrieve corresponding matched multi-part place identifier with at least a Where part. The Where part includes an alpha numeric identifier indicating a geometrical boundary for the matched validated input address. The system can provide the matched multi-part place identifier with at least the Where part to a user for use in further analysis.

Abstract: The technology disclosed relates to deduplicating metadata about places. A feature generator module is configured to generate features for metadata profiles. The metadata profiles represent a plurality of places. The features are based on geohash strings and word embeddings generated for the metadata profiles. A diff generator module is configured to generate diff vectors that pair-wise encode results of comparison between features of paired metadata profiles. A classification module is configured to generate similarity scores for the paired metadata profiles based on the diff vectors. A particular similarity score indicates whether metadata profiles in a particular pair of metadata profiles represent a same place.

Abstract: The technology disclosed uses machine learning-based models to compare and merge metadata profiles from various metadata sources to create a library of metadata profiles with the most accurate attributes. The technology disclosed adjusts the geospatial coordinates of places located inside a building structure for accuracy and defines a block for each place within the perimeter of the building structure. The building structure may host a single place or multiple places. The non-overlapping blocks, the adjusted geospatial coordinates of places and more accurate metadata profiles enable the gathering of accurate location-specific data from visitors inside the building structures through their personal devices.

Abstract: The technology disclosed uses machine learning-based models to compare and merge metadata profiles from various metadata sources to create a library of metadata profiles with the most accurate attributes. The technology disclosed adjusts the geospatial coordinates of places located inside a building structure for accuracy and defines a block for each place within the perimeter of the building structure. The building structure may host a single place or multiple places. The non-overlapping blocks, the adjusted geospatial coordinates of places and more accurate metadata profiles enable the gathering of accurate location-specific data from visitors inside the building structures through their personal devices.