International Business Machines Corporation

Walmart Apollo, LLC

Alan Coleman

Joshua Kneubuhl

Richard Edward Chatwin

Kiran Garaga Lokeswarappa

Murthy V Nukala

Srinidhi Ramesh Kondaji

In one embodiment, a method includes receiving, in real-time, user information associated with a user of a client computing device. One or more user features are derived from the user information associated with the user. The one or more user features include one or more user intents. The one or more user intents are matched with one or more of a plurality of advertiser intents. The user information is determined to be accepted. In response to accepting the user information, an advertisement is generated based on the matching of the one or more user intents and the one or more of the plurality of advertiser intents.

Real-time bidding and advertising content generation

A computer implemented method for providing optimized planning is provided. Collected data is analyzed. A plan for a first period of time is created based on the collected data. For a plurality of times during the first period, data collected during the first period is analyzed. At least one tuning indicator is generated based on analyzing the data collected during the first period that indicates whether a tuning should be performed. The plan is tuned a plurality of times during the first period, wherein the tuning uses the data collected during the first period.

Plan tuning engine

A computer implemented method for processing data is provided. At least one dataflow comprising transformational and numerical steps is defined. The flow is decomposed into distinct executable segments along process domains. The flow is decomposed into distinct executable segments along data domains. Parallel execution paths are identified across the executable segments. The executable segments are executed across a plurality of execution units.

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Lafayette, CA, United States of America

Alan Coleman