International Business Machines Corporation

Jayakarthik Jayabalan

Kuntal Dey

Seema Nagar

Josephine E Justin

Sougata Mukherjea

Girish Dhanakshirur

Sumit Mittal

One or more processors compile user preference and activity information associated with a mobile device operated by the user. The installation of a first application (app) on the mobile device operated by the user is confirmed. Responsive to detecting availability of an update to the first application, and confirmation accepting installation of the update, dynamically embedding a message within a new feature included in the update of the first application. A message is selected from one or more available messages to dynamically embed within the new feature included in the update of the first application, based on profile and activity information collected about the first user, and responsive to receiving a confirmation to receive the update of the first application, the message selected from the one or more available messages, is presented to the user, embedded within the new feature of the update to the first application.

Dynamic message embedded within application new feature rollout

Systems and methods for calculating and displaying implicit popularity of products are disclosed. In embodiments, a computer-implemented method, comprises: determining, by a computing device, a set of consumer actions related to a product based on recorded consumer interaction data, wherein the set of consumer actions comprise a plurality of different physical actions of multiple consumers over a span of time; aggregating, by the computing device, the set of consumer actions by type of physical action over time to produce aggregated action event data; calculating, by the computing device, an implicit popularity number for the product based on the aggregated action event data; and sending, by the computing device, a display category to a product display device associated with the product based on the implicit popularity number, wherein the display category represents a measure of consumer popularity of the product.

Calculating and displaying implicit popularity of products

A contextual push notification service is provided, including: receiving, by a mobile device, a notification message. The notification message comprises at least one context rule and a notification message. The at least one context rule is compared, on the mobile device, with at least one user context preference. Based on the results of the comparison, a notification action is taken.

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Chennai, India

Jayakarthik Jayabalan