Systems and Methods to Facilitate Local Searches Via Location Disambiguation

摘要

Systems and methods use machine learning techniques to resolve location ambiguity in search queries. In one aspect, a dataset generator generates a training dataset using query logs of a search engine. A training engine applies a machine learning technique to the training dataset to generate a location disambiguation model. A location disambiguation engine uses the location disambiguation model to resolve location ambiguity in subsequent search queries.

主权项

1. A method comprising:
filtering, by a system comprising a processor, a query log to identify a first query, the first query specifying an unambiguous location; generating, by the system from the first query, a second query having location ambiguity, wherein generating, from the first query, the second query having location ambiguity comprises
separating, by the system, the first query into at least a first component and a second component, andremoving, by the system, one of the first component or the second component; identifying, by the system, a set of location candidates for the second query; generating, by the system, a training dataset based on comparing the unambiguous location specified in the first query with each location candidate of the set of location candidates for the second query; applying, by the system, a machine learning technique to the training dataset to generate a location disambiguation model; and resolving, by the system, location ambiguity in a query using the location disambiguation model.