Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.
Type:
Grant
Filed:
September 28, 2015
Date of Patent:
March 17, 2020
Assignee:
Oath Inc.
Inventors:
Changsung Kang, Yuening Hu, Dawei Yin, Yi Chang