Microsoft Technology Licensing, LLC

Changji Shi

Shaunak Chatterjee

Sandor Nyako

Swapnil Ghike

Akhilesh Gupta

Ankit Gupta

Shipeng Yu

Jinyun Yan

Curtis Wang

Guanchao Wang

David Benjamin Liu

Yan Gao

Parinkumar D Shah

Vivek Nelamangala

Zhongen Tao

Banu Muthukumar

Netra Malagi

Eric Brownrout

Amit Ruparel

Cheng-Fu Lin

Pingjie Xiao

Techniques for broadcasting notifications with low latency are provided. A set of recipients for a notification of a content item is determined. The notification is stored in a second notifications storage that is separate from a first notifications storage. A request for one or more notifications is received over a computer network from a client device that is associated with a particular recipient in the set of recipients. In response to receiving the request, first notification data is retrieved from the first notifications storage, second notification data that includes the notification is retrieved from the second notifications storage. The first notification data is combined with the second notification data to generate combined notification data. The combined notification data is transmitted over the computer network to the client device and is stored in the first notifications storage. The notification may be removed from the first notifications storage.

Broadcasting notifications with low latency

A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system that can fetch, store, and process data in a near-line fashion. It can perform feature generation, processing and scoring of notifications, as well as ranking of the notifications based on their respective relevance scores that are calculated using machine learning techniques. The notification delivery system is positioned centrally with respect to different producers of notifications, such that it can consume centrally-stored information about members' holistic notification experiences.

Near real time relevance ranker for notifications

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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Palo Alto, CA, United States of America

Changji Shi