Abstract: Systems and methods described herein can assign a confidence score to a match of unstructured descriptive information with structured reference information in a reference database. The systems and methods can take into account the structured nature of the reference information in assigning the score, thereby facilitating increased confidence in the match, and consequently, facilitating improved database organization and content identification.

Abstract: An audio recognition service recognizes an audio sample across multiple content types. At least a partial set of results generated by the service are returned to a client while the audio sample is still being recorded and/or transmitted. The client additionally displays the results in real-time or near real-time to the user. The audio sample can be sent over a first HTTP connection and the results can be returned over a second HTTP connection. The audio recognition service further processes check-in selections received from the client for content items indicated by the results. Responsive to receiving the check-in selections, the service determines whether a user is eligible for a reward. If the user is eligible, the service provides the reward.

Abstract: Systems and methods for facilitating higher confidence matches are provided. In one embodiment, a system includes a memory that stores computer executable components, and a microprocessor that executes the computer executable components stored in the memory. The components can include a metadata matching component that determines a metadata match level between metadata of a plurality of files, and a thresholding component. The thresholding component may compare a metadata threshold with the metadata match level and output a signal configured to cause a decrease in a melody matching strength threshold from a first value to a second value based at least on the metadata match level being greater than the metadata threshold.

Abstract: The present disclosure includes, among other things, systems, methods and program products for selecting subsequences (shingles or tuples) generated from sequences of tokens.