Oracle International Corporation

Elizabeth Lingg

Yasin Cengiz

Reza M B'Far

Kent Arthur Spaulding

Tsai-Ming Tseng

Malini Chakrabarti

Huyvu Nguyen

Christopher Leone

Alan Waxman

Sreedhar Chitullapally

Lloyd Boucher

Logan Goh

Americo Caves

Steven Miranda

Fei Wihardjo

Tong Chen

Rana Meraj Rasool

Fun Goh

Yenal Kal

Yemin Shi

Chengxiao Fu

Timothy Jason Bass

Minh Le

Rafael Paxi

Neeharika Adavikolanu

Embodiments of the present invention allow a system to use data gathered from social networks and other systems to determine an ordered list of desired topics or skills to define a subject matter area and incorporate the order of the topics or skills into a search. To define this subject matter area, embodiments can consider not just the topics or skills that are listed, but those topics or skills that are similar based on a pre-computed topic graph. These considerations can be incorporated into a generated query, so that the query itself accounts for similarity of topics via the topic graph and the order of desired terms. The query generation process can include a claimed skills veracity model that provides differential weighting to claimed skills, based on the skill-sets of users who are deemed to be similar to the user being evaluated.

Methods for identifying, ranking, and displaying subject matter experts on social networks

Embodiments provide for assessing and scoring user proficiency in topics determined by data from social networks and other sources. Embodiments can combine the information available to direct models, e.g., using user profiles, endorsements, etc., with data from various other external knowledge bases to find implicit topics for users, and other types of reasoning to compute proficiency scores. Implicit topics, i.e., those topics related to explicitly identified areas of expertise, can be determined based on a topic graph such as a Directed Acyclic Graph (DAG). Generally speaking, embodiments can traverse the topic graph for explicitly identified skills or topics and determine related or similar new skills based on nearby nodes of the graph. This approach can uncover skills that user that may not have disclosed as well as scoring users on skills based on the skill's similarity to those the user did claim.

Methods for assessing and scoring user proficiency in topics determined by data from social networks and other sources

Embodiments of the invention provide systems and methods for wellness tracking and recommendations. More specifically, embodiments of the present invention provide wellness applications that integrate wearable devices with Human Resource (HR) and other enterprise application data. According to one embodiment, providing integrated wellness information can comprise retrieving enterprise application data from one or more data sources, retrieving data from one or more wearable devices of one or more employees, and applying analytics to the retrieved enterprise application data and the data retrieved from the wearable devices. The integrated wellness information can be generated based on the applied analytics and can be provided to the one or more employees through a user interface.

Employee wellness tracking and recommendations using wearable devices and human resource (HR) data

User profiles can be analyzed to identify profiles matching to the same identity. For example, profiles from different social network systems are analyzed to determine if the profiles are associated with the same user of the social network systems. Multiple heuristics may be calculated using different algorithms. The calculated heuristics may then be combined to generate a match score that indicates whether two profiles match.

Semi-supervised identity aggregation of profiles using statistical methods

Techniques for displaying information. Policy violations are identified, based at least in part on data stored in a data store. For the policy violations, a plurality of semantic objects related to the violations are identified. Arrangements of graphical objects are displayed where the graphical objects represent the identified semantic objects and where the arrangement indicates one or more relationships between pairs of the semantic objects.

Techniques for display of information related to policies

Techniques, including systems and methods, for generating data are disclosed and suggested herein. Original data used in connection with one or more applications is analyzed in order to determine one or more distribution characteristics for the original data. The distribution characteristics are used to generate data that is similarly distributed. The generated data may be used as seed data for demonstrating, testing, or otherwise using one or more applications.

Techniques for data generation

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Pleasanton, CA, United States of America

Elizabeth Lingg