MULTIFACTOR VENUE LOCALIZATION USING CENTRALIZED LEARNING

摘要

A central server receives a venue identification query from a client device in the venue and a test data set including information collected from the venue. The central server then queries a classifier to identify the venue based on the test data. The classifier returns an identity value (venue ID) and a confidence value for the venue ID. When the confidence value is less than a threshold value, the central server obtains additional data from the client device until the venue is identified. The central server associates the venue ID with the test data set, including the additional data, and adds the test data set to training data for the classifier.