Methods and systems for merging point-of-interest datasets

A system comprising:

• a memory storing instructions;
• a processor communicatively coupled to the memory and configured to execute the instructions to:
• access a plurality of point-of-interest datasets from different sources;
• batch, from the plurality of point-of-interest datasets from different sources, a plurality of point-of-interest data records together based on similarity between a feature included in distinct sets of features of the plurality of point-of-interest data records, each of the plurality of point-of-interest data records including data representative of a distinct set of features for a distinct point-of-interest;
• generate, based on the distinct sets of features of the plurality of point-of-interest data records, a graph data structure that includes the plurality of point-of-interest data records and a plurality of weighted feature relationships interconnecting the plurality of point-of-interest data records;
• cluster, based on the graph data structure, the plurality of point-of-interest data records into groups of point-of-interest data records, each group of point-of-interest data records including a different subset of the plurality of point-of-interest data records;
• and
• generate one or more merged point-of-interest data records based on the clustered groups of point-of-interest data records.

A non-transitory computer-readable medium storing instructions that, when executed, direct at least one processor of a computing device to:

• access a plurality of point-of-interest datasets from different sources;
• batch, from the plurality of point-of-interest datasets from different sources, a plurality of point-of-interest data records together based on similarity between a feature included in distinct sets of features of the plurality of point-of-interest data records, each of the plurality of point-of-interest data records including data representative of a distinct set of features for a distinct point-of-interest;
• generate, based on the distinct sets of features of the plurality of point-of-interest data records, a graph data structure that includes the plurality of point-of-interest data records and a plurality of weighted feature relationships interconnecting the plurality of point-of-interest data records;
• cluster, based on the graph data structure, the plurality of point-of-interest data records into groups of point-of-interest data records, each group of point-of-interest data records including a different subset of the plurality of point-of-interest data records;
• and
• generate one or more merged point-of-interest data records based on the clustered groups of point-of-interest data records.