Abstract: Methods and systems for playing personalized music are described. The methods and systems can automatically play music based on the musical preferences of a user in a vicinity of a music player. The preferences of the user are received or retrieved, and the music played is tailored to the user's preferences. The methods and systems select songs that match or are similar to a musical preference of a user, such as songs in the same genre, style, or by the same artist.

Abstract: Methods and systems for playing personalized music are described. The methods and systems can automatically play music based on the musical preferences of a user in a vicinity of a music player. The preferences of the user are received or retrieved, and the music played is tailored to the user's preferences. The methods and systems select songs that match or are similar to a musical preference of a user, such as songs in the same genre, style, or by the same artist.

Abstract: Techniques for electing winning treatments in connection with A/B testing of mobile applications are described. According to various embodiments, the activation of a version of a mobile application installed on a mobile device may be detected. A database storing winning treatment information describing one or more winning treatments for one or more A/B tests is accessed. In some embodiments, each of the one or more A/B tests in the winning treatment information may be associated with a particular version of a particular mobile application. Thereafter, a specific winning treatment for a specific A/B test associated with the version of the mobile application installed on the mobile device may be determined, based on the winning treatment information. The specific winning treatment may then be implemented in the mobile application installed on the mobile device.