Abstract: An electronic device is associated with a media-providing service. The electronic has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device determines, based on a listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score based on a number of the plurality of tracks determined to not have been previously consumed by the user. The electronic device provides personalized content to the user based on the discovery score.

Abstract: A server system accesses a listening history of a user of the media-providing service, where the user is in a demographic group. For each track of a plurality of tracks in the listening history of the user, the server system calculates a first metric based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, for the track. The server system selects content for the user based on the first metric and provides the selected content to a client device associated with the user.

Abstract: An electronic device associated with a media-providing service has one or more processors and memory storing instructions for execution by the one or more processors. The electronic device accesses a listening history of a user of the media-providing service. Based at least in part on the listening history of the user, the electronic device assigns a first personality trait of a plurality of personality traits to the user. The electronic device provides personalized content to the user based on the first personality trait.

Abstract: A server system of a media-providing service has one or more processors and memory that stores instructions for execution by the one or more processors. The server system accesses a listening history of a user that specifies tracks consumed by the user. The tracks have respective characteristics that describe the tracks. The server system determines for the user, using the listening history, a diversity score based on variation of the characteristics across the tracks consumed by the user. The server system provides personalized content to the user based on the diversity score.

Abstract: A valved container assembly (10) comprising a container (12) for containing a fluid, the container (12) extending in an axial direction and having at least one venting opening (12a) at a front end and at least one dispensing opening (12b). The valved container assembly (10) further comprising a valve (14) disposed in the container (12) and a plunger element (20) disposed axially rearward of the valve (14), the plunger element (20) being axially moveable in the container (12) and defining a first volume (22) in the container (12) between the plunger element (20) and the valve (14), where the plunger element (20) is configured to increase the pressure of a fluid in the first volume (22) upon axial movement relative to the valve (14).

Abstract: A server system divides respective groups of a plurality of groups of sessions for multiple users of the media-providing service into respective pluralities of clusters. The server system tracks user interaction with a client device during a user session and identifies the user session as belonging to a first cluster of the pluralities of clusters based at least in part on the user interaction. The server system personalizes content for the user session using one or more content criteria associated with the first cluster, in accordance with identifying that the user session belongs to the first cluster.

Abstract: An electronic device accesses a listening history of a user of a media-providing service, and for each characteristic of a set of characteristics describing tracks provided by the media-providing service, determines a measure of divergence with respect to listening contexts for the listening history of the user. The electronic device identifies a characteristic that has a respective measure of divergence that satisfies a threshold indicative of a lack of uniformity in the listening history with respect to the listening contexts. The electronic device determines a representative value of the identified characteristic for a listening context corresponding to a current listening context of the user. The electronic device provides personalized content to a client device of the user based on the current listening context and representative value of the identified characteristic.