Oracle International Corporation

Chad Estes

Michael James Strutton

John Benjamin Nolt

Horace Williams, Ii

John Schult

Jason C Reynolds

Wenhua Li

Natalie You

Yizhou Jiang

Kimberly Ann Wolfe

Paulo Delgado

Slain J Wilde

Benjamin Turner

John Maxwell

Steven Keith Woods

Bryan S Pocius

Tara U Roberts

Eugene R Thompson

Taha Sheikh

James V Anderson

Brian Culler

Andrei Erdoss

Andrew Robert Dorr

Wenchang Yan

Donald Chun Wing Ho

Sriti Kumar

Robert M Maury

Paul M Broft

Maria F Arscott

Nancy M Lim

Joe Kearney

Melinda M Weathers

Stephanie Fossan

Erica M Stanley

Geoffrey Hom

Gregory K Dunn

Matt White

Reginald R Bradford

A single tracking URL collects tracking information for multiple tracking services based on multiple tracking URL templates. A dynamic link generator generates a tracking URL configured to collect tracking information requested by each of a set of enabled tracking URL templates. The tracking information is transmitted to the tracking services associated with the enabled tracking URL templates. Additionally or alternatively, a tracking URL is configured to redirect a consumer to one of a candidate set of destination URLs. A tracking URL includes a base URL, which is resolved to an IP address of a server of a particular tracking service. Based on tracking data associated with the tracking URL and/or digital body language associated with the consumer, the particular tracking service selects one of a candidate set of destination URLs associated with the tracking URL. A destination page corresponding to the selected destination URL is presented to the consumer.

Generating tracking URLs and redirecting from tracking URLs

Systems and methods for delivering application media content to multiple social media systems (SMSs) for display to SMS members. The method includes the steps of providing initial application media content to respective SMSs. Once a respective SMS member interacts with the initial content, a social relationship management system (SRMS) receives indication from an SMS of such interaction, and retrieves a unique application media file relating to application media content. The unique application media file is then applied to an application media container file that overcomes certain formatting protocols and requirements of the SMS and enables transmission and delivery of the application media content to the SMS. The application media content is then delivered to the SMS member on the SMS through the application media container file.

Systems and methods for creating and inserting application media content into social media system displays

Techniques for using machine learning to configure social media campaigns are disclosed. A social relationship management (SRM) service performs supervised machine learning to generate a learned model, at least by: generating feature vectors based on training data including campaign configuration data and one or more campaign success metrics; and performing pattern recognition on the feature vectors to determine one or more preferred campaign configurations. The SRM service publishes messages to one or more social media platforms and receives user interaction data associated with users' interactions with the messages. The SRM service performs unsupervised machine learning to update the learned model based at least in part on the user interaction data. The SRM service receives a request to configure a social media campaign, applies data associated with the request to the learned model to determine a preferred campaign configuration, and configures the social media campaign based on the preferred campaign configuration.

Machine learning system for configuring social media campaigns

Disclosed is an improved approach for implementing a system, method, and computer program product for integrating with a social media site, which can be used to create and configure a custom audience on the social media site.

Method and system for integrating audience data with a social media site

Systems and methods for evaluating the effectiveness of social media pages. Users of social media systems review and publish various kinds of content on social media pages, including various messages, audio clips, video clips, polls, web links, etc. A social media page evaluation system hosted on a physical server or a cloud receives a social media page that is to be evaluated, and provides results of an evaluation process. The evaluation process involves processing of various criteria and parameters that characterize engagements and interactions between users of social media pages. Results of an evaluation process include qualitative and quantitative attributes in connection with evaluating the effectiveness of published content on social media pages. Such results are useful for purposes of enriching content in social media pages, resulting in greater network traffic due to increased engagements and interaction among users of social media pages.

Systems and methods for determining value of social media pages

Growing community of inventors

Decatur, GA, United States of America

Chad Estes