Oracle International Corporation

Stephen John Papa

David Abraham Wiener

James Kong Hsu

John Patrick Connelly

Kendra Mariko Chen

Sherene Wael Hilal

Vernon W Hui

Taha Sheikh

Ben Hekster

Stephen Streich

Edward L Wallace

Mayank Ashwin Dedhia

Vernon Wah-Non Hui

Hong Bao

Tyler Lee Scott

Kristine E Robison

A server receives incoming data records comprising an ID value and respective user attributes corresponding to a user activity that originates at a user device. Characteristics of the activity and/or characteristics of the user device are considered in order to assign a probabilistic confidence value, which is in turn used to generate links from an incoming data record to other previously-received data records, and in so doing, generates a probabilistic link between one set of user attributes from the incoming data record and another set of user attributes from previously-received data records. A messaging campaign specification that describes target user attributes is used to identify a matching set of target audience member records. The determination of a match or not is based on the probabilistic confidence value and a threshold can be varied to extend audience reach. The identified set of target audience member records are transmitted over a network.

Extending audience reach in messaging campaigns using probabilistic ID linking

The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for building and operating a match cooperative without handling personally identifiable information. The various embodiments address the problem of discovering attributes pertaining to a particular user without sharing personally identifiable information pertaining to that particular user. More specifically, the claimed embodiments are directed to approaches for receiving online and offline PII and NPII associated with various users, obfuscating (e.g., hashing) the PII, and matching the obfuscated PII to the NPII based on various data (e.g., common attributes, etc.) and methods (e.g., deterministic matching, probabilistic matching, etc.). The matched NPII attributes can then be used to target the user associated with the obfuscated PII in online advertising campaigns.

Operating a match cooperative without handling personally identifiable information

Extending audience reach in messaging campaigns using super profiles

A method, system, and computer program product for classifying user intent based on spatial information relayed via a mobile device. Embodiments commence upon receiving a location beacon identification value originating from a location beacon, which location beacon identification value is then relayed to the server from the mobile device. The server determines a set of one or more rules based at least in part on the location beacon identification value, and then transmits at least a portion of a set of one or more rules to the mobile device, (e.g., using a mobile device carrier's infrastructure). The rules comprise triggers, and when a trigger fires, user categorization is determined and user intent is predicted. The user categorization and/or predicted user intent is used to select an advertising message.

Classifying user intent based on location information electronically communicated from a mobile device

Growing community of inventors

San Jose, CA, United States of America

Stephen John Papa