Patent attributes
Described are systems and methods that solve localization problems using Machine Learning models to compute country vectors for each linked content item and present content items in response to requests based on the country vectors. For example, a request from a user in Country A may be processed to determine candidate content items responsive to the request and to determine Country A as the country corresponding to the request. The candidate content items may then be processed to determine, for each candidate content item, a country vector corresponding to Country A as indicative of the relevance of the content item to Country A. Content items that are more likely than not to be relevant to the country of the request (e.g., Country A), as indicated by the respective country vector, may be considered as responsive and all other candidate content items discarded.
