Automated user language detection for content selection

A method, comprising:

• receiving, by a data processing system having one or more processors, from a client device, a request for content identifying an account profile and including one or more keywords;
• determining, by the data processing system using a log record identifying a browsing history of the account profile, a first set of candidate languages from a plurality of languages by analyzing the log record using a language recognition model, wherein the language recognition model is trained according to a training dataset including corpuses of text for each language of the plurality of languages;
• determining, by the data processing system, a second set of candidate languages based on one or more information resources associated with the one or more keywords;
• calculating, by the data processing system, confidence scores for at least some of the second set of candidate languages;
• and
• updating, by the data processing system, the first set of candidate languages based on the confidence scores for the at least some of the second set of candidate languages.