Abstract: An apparatus, method, system, and computer-readable medium are provided for maintaining contact information associated with a contact. In some embodiments a request associated with a contact may be received. Contact information may be obtained from one or more external or internal sources. One or more confidence scores may be generated for the obtained contact information and for one or more values received with the request. Based on the confidence score(s), one or more values associated with the contact may be incorporated in one or more data stores. In some embodiments, suggestions for contact related information may be generated. Responses to the suggestions may be used to update the generated confidence score(s).

Abstract: An apparatus, method, system, and computer-readable medium are provided for maintaining contact information associated with a contact. In some embodiments a request associated with a contact may be received. Contact information may be obtained from one or more external or internal sources. One or more confidence scores may be generated for the obtained contact information and for one or more values received with the request. Based on the confidence score(s), one or more values associated with the contact may be incorporated in one or more data stores. In some embodiments, suggestions for contact related information may be generated. Responses to the suggestions may be used to update the generated confidence score(s).

Abstract: Systems and methods for capturing and monitoring the health, safety, and/or activity of a user are described. In one aspect, the system generates a data usage pattern for the user and monitors the user's current data usage activity to detect data usage deviations from the user's usage pattern. When a deviation is detected, the system may send an alert message to the user or another user indicating that an anomaly may have occurred, permitting the user or another user to respond to the anomaly.

Abstract: A content recommendation system is disclosed that allows users to identify friends, recommend content to friends, and receive awards for influencing friends. Interfaces can be used to display rankings of recommended programs, user profiles and their awards, and dynamic chats relating to specific content.