Twitter, Inc.

Airbnb, Inc.

Reid Andersen

Utkarsh Srivastava

Ashish Goel

Parag Agrawal

Hyun Duk Kim

Michael Jahr

Sandeep Pandey

James Neufeld

Nipoon Malhotra

Kumar Chellapilla

Yuanpei Cao

Yu Guo

William Andrew Betz

Systems and methods are disclosed for retrieving, from a database, over a network, historical routing data for multiple attributes and determining, for each attribute, based on its respective historical routing data, whether processing volume and processing error rates for each attribute exceed respective threshold. If both processing volume and error rate exceed their respective thresholds, the systems and methods describe herein calculate, for each qualifying attribute, a degree to which routing for each attribute can be improved. The systems and methods described herein output a ranking for each qualifying attribute based on their respective degrees to which routing can be improved for the respective attributes.

Tree structure-based smart inter-computing routing model

A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

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San Francisco, CA, United States of America

Reid Andersen