Abstract: Techniques are disclosed for segmenting users based on user interactions with messages transmitted over various electronic communication channels. In some embodiments, a segmentation application normalizes sets of event data associated with user interactions with messages that are transmitted over multiple electronic communication channels to generate intermediate labels associated with the sets of event data. The normalization includes applying a time decay while accounting for messaging cadence, messaging volume, and user interactions with messages associated with an industry. The intermediate labels are combined to generate a final label associated with the user via a pairwise combination technique that maintains a more favorable label when a pair of intermediate labels are combined. Additional messages can then be generated and/or transmitted based on the final label.

Abstract: A Rules-Based Just-In-Time (RBJIT) content streaming engine collects information such as behavior, usage, movement, and preferences about a user, any groups that the user is associated with, and the set of all users in general. Based on this information, the RBJIT may preferentially select multimedia content and content suggestions for user display, increasing the likelihood that the surfaced content will be of interest to a user. In this way, browsing time for a user on a device with a limited form factor is reduced and network bandwidth is conserved by not surfacing content that the user ultimately will not view.

Abstract: Described herein are techniques for optimizing scheduling of access events (e.g., downloads) on mobile devices based on server congestion. In some embodiments, response times are monitored for a number of servers at various times to establish availability patterns for those servers. An indication of a number of software applications installed upon a mobile device is used to identify a number of access events to be associated with that mobile device. The servers associated with those access events are identified and an access schedule is generated based on the availability patterns. The access schedule is then provided to the mobile device, which initiates execution of the access events according to the access schedule.

Abstract: A Rules-Based Just-In-Time (RBJIT) content streaming engine collects information such as behavior, usage, movement, and preferences about a user, any groups that the user is associated with, and the set of all users in general. Based on this information, the RBJIT may preferentially select multimedia content and content suggestions for user display, increasing the likelihood that the surfaced content will be of interest to a user. In this way, browsing time for a user on a device with a limited form factor is reduced and network bandwidth is conserved by not surfacing content that the user ultimately will not view.

Abstract: Described herein are techniques for optimizing scheduling of access events (e.g., downloads) on mobile devices based on server congestion. In some embodiments, response times are monitored for a number of servers at various times to establish availability patterns for those servers. An indication of a number of software applications installed upon a mobile device is used to identify a number of access events to be associated with that mobile device. The servers associated with those access events are identified and an access schedule is generated based on the availability patterns. The access schedule is then provided to the mobile device, which initiates execution of the access events according to the access schedule.

Abstract: A Rules-Based Just-In-Time (RBJIT) content streaming engine collects information such as behavior, usage, movement, and preferences about a user, any groups that the user is associated with, and the set of all users in general. Based on this information, the RBJIT may preferentially select multimedia content and content suggestions for user display, increasing the likelihood that the surfaced content will be of interest to a user. In this way, browsing time for a user on a device with a limited form factor is reduced and network bandwidth is conserved by not surfacing content that the user ultimately will not view.

Abstract: A Rules-Based Just-In-Time (RBJIT) content streaming engine collects information such as behavior, usage, movement, and preferences about a user, any groups that the user is associated with, and the set of all users in general. Based on this information, the RBJIT may preferentially select multimedia content and content suggestions for user display, increasing the likelihood that the surfaced content will be of interest to a user. In this way, browsing time for a user on a device with a limited form factor is reduced and network bandwidth is conserved by not surfacing content that the user ultimately will not view.

Abstract: A Rules-Based Just-In-Time (RBJIT) content streaming engine collects information such as behavior, usage, movement, and preferences about a user, any groups that the user is associated with, and the set of all users in general. Based on this information, the RBJIT may preferentially select multimedia content and content suggestions for user display, increasing the likelihood that the surfaced content will be of interest to a user. In this way, browsing time for a user on a device with a limited form factor is reduced and network bandwidth is conserved by not surfacing content that the user ultimately will not view.