Location-Based Recommendations Using Nearest Neighbors in a Locality Sensitive Hashing (LSH) Index
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United States of America Patent
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Issued Date -
May 25, 2017
app pub date -
Nov 20, 2015
filing date -
Nov 20, 2015
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Abstract
Software for a website hosting short-text services creates an index of buckets for locality sensitive hashing (LSH). The software stores the index in an in-memory database of key-value pairs. The software creates, on a mobile device, a cache backed by the in-memory database. The software then uses a short text to create a query embedding. The software map the query embedding to corresponding buckets in the index and determines which of the corresponding buckets are nearest neighbors to the query embedding using a similarity measure. The software displays location types associated with each of the buckets that are nearest neighbors in a view in a graphical user interface (GUI) on the mobile device and receives a user selection as to one of the location types. Then the software displays the entities for the selected location type in a GUI view on the mobile device.
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