Location-based recommendations using nearest neighbors in a locality sensitive hashing (LSH) index

One or more non-transitory computer-readable media persistently storing instructions that, when executed by a processor, perform operations comprising:

• creating an index of a plurality of buckets, wherein a bucket of the plurality of buckets includes one or more word or phrase embeddings derived from a corpus of documents that describe entities associated with geographic locations;
• map a query embedding to corresponding buckets in the index and determine which of the corresponding buckets are nearest neighbors to the query embedding using a similarity measure;
• display one or more location types associated with one or more buckets that are nearest neighbors in a view in a graphical user interface (GUI) on a device;
• receive a user selection of a location type of the one or more location types;
• and
• display one or more entities associated with the location type in a GUI view on the device.

A method, comprising:

• creating an index of a plurality of buckets, wherein a bucket of the plurality of buckets includes one or more word or phrase embeddings derived from a corpus of documents that describe entities associated with geographic locations;
• mapping a query embedding to corresponding buckets in the index and determining which of the corresponding buckets are nearest neighbors to the query embedding;
• displaying one or more location types associated with one or more buckets that are nearest neighbors in a view in a graphical user interface (GUI) on a device;
• receiving a user selection of a location type of the one or more location types;
• and
• displaying one or more entities associated with the location type in a GUI view on the device.