Fiserv Incorporated

Qualcomm Incorporated

Netradyne, Inc.

Vikram Gupta

Naga Bhushan

Ravi Palanki

Avneesh Agrawal

Rajarshi Gupta

Phillip Andrew Schroder

Peerapol Tinnakornsrisuphap

Parag Arun Agashe

David Jonathan Julian

Daniel Jared Sinder

Venkata Sreekanta Reddy Annapureddy

Gregory David Smelker

Wesley James Holland

Michael Campos

Jian Shen

Yen-Chi Lee

Sandeep Pandya

Adam David Kahn

Mark Edward Bowman

Amirali Sunderji

Mary Elizabeth Lawson

Ziad Asghar

Vinesh Sukumar

Miran Chun

Timothy Allen Ruhe

Khaled Helmi El-maleh

Alexander Thomas

Priyam Bakliwal

Christopher Gerard Lott

Anubhav Gupta

Hisham Rahman

Sneha Aenugu

Systems and techniques are provided for coordinating multi-user experiences. For example, a process can include obtaining a plurality of settings associated with a plurality of multi-user experience participants. The plurality of settings includes one or more arbitrated settings and one or more non-arbitrated settings. The process can include arbitrating, by a settings arbitration engine, the one or more arbitrated settings to generate one or more adjusted settings for each arbitrated setting. The process can include generating, by an experience adaptation engine, an adapted multi-user experience, wherein the adapted multi-user experience is configured to enforce the one or more adjusted settings for each arbitrated setting.

Multi-user experience coordination system

Systems, methods and computer-readable media are disclosed for generating integrated data records by correlating source data records stored at different registry source data repositories. A set of source data records is retrieved based on execution of one or more search queries against a set of registry source data repositories. A data record matching rule is selected for execution on the set of source data records. The matching rule specifies one or more input properties, each of which specifies at least one data field designator, and optionally, a matching algorithm and an input property match threshold value. The matching rule is executed on pairwise combinations of source data records to obtain a set of matched source data records. An integrated data record is generated and populated with respective data from each of one or more of the matched source data records. The integrated data record is linked to each source record.

Generating integrated data records by correlating source data records from disparate data sources

Growing community of inventors

Sunnyvale, CA, United States of America

Vikram Gupta