Abstract: A mobile device including: a position locator; a user data engine; and a reputation engine client configured to: receive a location from the position locator; operate the user data engine to provide a user profile, intent, and context data for a user, the context data including dynamic factors about the user, and the profile including relative factors about the user that are relatively static with respect to the context data from the user data engine; and determine a reputation for the location, wherein the reputation is based at least in part on a combination of the user profile, intent, and context.

Abstract: A mobile device including: a position locator; a user data engine; and a reputation engine client configured to: receive a location from the position locator; operate the user data engine to provide a user profile, intent, and context data for a user, the context data including dynamic factors about the user, and the profile including relative factors about the user that are relatively static with respect to the context data from the user data engine; and determine a reputation for the location, wherein the reputation is based at least in part on a combination of the user profile, intent, and context.

Abstract: In an example, one or more computing devices operate to provide a context-aware reputation of a place, such as in relation to a human user. Context may include the user's identity and purpose, as well as environmental factors such as time of day, weather, and political drivers. The device may communicate with a server to receive globalized safety intelligence. When the user enters a zone, the device may determine a context-sensitive reputation, such as “Green,” “Yellow,” or “Red.” Depending on the reputation, the device may then take an appropriate action, such as warning the user or providing additional information.

Abstract: A method and system for protecting against unknown malicious activities by determining a reputation of a link are disclosed. A reputation server queries a database including reputation information associated with a plurality of links to retrieve a reputation of a redirected link. The reputation information may indicate whether the links are associated with a malicious activity. The reputation of the redirected link may be associated with the original link to create a reputation of the original link.

Abstract: In an example, one or more computing devices operate to provide a context-aware reputation of a place, such as in relation to a human user. Context may include the user's identity and purpose, as well as environmental factors such as time of day, weather, and political drivers. The device may communicate with a server to receive globalized safety intelligence. When the user enters a zone, the device may determine a context-sensitive reputation, such as “Green,” “Yellow,” or “Red.” Depending on the reputation, the device may then take an appropriate action, such as warning the user or providing additional information.

Abstract: A method and system for protecting against unknown malicious activities by determining a reputation of a link are disclosed. A reputation server queries a database including reputation information associated with a plurality of links to retrieve a reputation of a redirected link. The reputation information may indicate whether the links are associated with a malicious activity. The reputation of the redirected link may be associated with the original link to create a reputation of the original link.

Abstract: A computer-implemented method for managing a plurality of customer relationship plans may include a step of collecting profile check values from a database of customer data, the collected profile check values including customer data corresponding to profile checks for each of the plurality of customer relationship plans. The collected profile check values may then be applied to predefined selection criteria in one or more of the plurality of customer relationship plans. The selection criteria determines whether a customer relationship plan of the plurality of customer relationship plans applies to a customer. One or more customer relationship plans may then be assigned or de-assigned to each of the selected customers, depending upon whether the applied profile check values satisfy or fail to satisfy the predefined selection criteria, respectively.