Verizon Patent and Licensing Inc.

Phenom People

Shivaramakrishna Nyshadham

Viraj Chandrakant Mantri

Vishal Bhasin

Prateek Mehrotra

Ilya Goldin

Suresh Babu Devineni

S S S Venkateswara Rao Alapati

Mahe Bayireddi

Hari Bayireddy

Sivanand Akella

A system may receive, identify, and/or extract one or more pieces of information (e.g., categories of knowledge) from an input (e.g., a knowledge source, as described herein). The categories of knowledge may include one or more phrase and/or multi-word phrase, which may be referred to as individual pieces of knowledge (e.g., knowledge entities). The system may identify one or more relationships between the categories of knowledge and/or the individual pieces of knowledge. For example, the relationships may be inter and/or intra-categorical relationships. The relationships may be organized to form a hierarchical relationship driven knowledge engine. The knowledge engine may organize the knowledge entities by entity (e.g., operator, company, job posting) and/or contextualize the knowledge entities by domain (e.g., profession, employer, etc.) by, for example, creating one or more knowledge profiles. The knowledge engine may then use these knowledge profile to dynamically respond to informational requests.

Knowledge engine using machine learning and predictive modeling for optimizing recruitment management systems

Techniques described herein may allow for an enhanced authentication of a user of a user device, such as a mobile telephone. Some such techniques may be applicable when transitioning the user device from a locked state to an unlocked state. The user device may determine an orientation associated with the user device (e.g., a magnetic declination, which may be expressed in terms of degrees from north), and may output the direction to an authentication server. The authentication server may determine whether the orientation matches a previously stored orientation, and may indicate to the user device whether the user device should activate a public mode or a private mode. The authentication server may also notify one or more application servers regarding the mode of the user device. In private mode, the presenting, sending, or receiving of certain types of data (e.g., sensitive data) may be restricted.

Enhanced device authentication using magnetic declination

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Hyderabad Telangana, India

Shivaramakrishna Nyshadham