Microsoft Technology Licensing, LLC

Vivek Nelamangala

Parinkumar D Shah

Shaunak Chatterjee

Tomer Cohen

Ankit Gupta

Shipeng Yu

Curtis Wang

Erran Berger

Rushi P Bhatt

Changji Shi

Swapnil Ghike

Strahinja Markovic

Pingjie Xiao

Banu Muthukumar

Sara F Todd

Eric Brownrout

A system, method, and apparatus are provided for propagating a status among related events. A relationship component of the system maintains a graph of the related events and, upon assignment of a status to an event identifies one or more related events (e.g., the root event, other ancestor events, descendant events). A retention component of the system includes multiple nodes that maintain user records (e.g., sharded by user identifier) storing events associated with the members and that also maintain separate event status tables to identify statuses of selected events. For example, an event status table may store statuses of root events and/or other ancestor events from which a given subsequent event may inherit or derive a status. An event status may reflect a quality or characteristic of the event (e.g., spam, low quality, language of the event), a status of the associated user (e.g., fame, level of influence), etc.

Propagating a status among related events

A notification platform for distribution of notification content in an on-line social network system, on-line and in near real time, is described. As a new notification is detected in the continuous stream of notifications triggered by time-sensitive events, the near real time notifications distribution system determines member profiles representing potential recipients of the notification by traversing a relationship graph. The relationship graph has nodes representing member profiles, as well as other entities maintained in the on-line social network system. The edges of the relationship graph represent relationships between entities represented by the associated nodes. For each member profile representing a potential recipient of the notification, the near real time notifications distribution system generates a relevance score, which is used to determine whether the notification is to be delivered to the potential recipient.

Near real time notifications distribution platform

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Mountain View, CA, United States of America

Vivek Nelamangala