Abstract: Selection bias in providing user reviews for digital goods markets is compensated for by identifying users likely to provide positive reviews and actively soliciting reviews from these users. User activity data with respect to a digital good is gathered and used to identify enthusiast reviewers. Enthusiast users within the set of users are identified based on a comparison of user activity data with at least one criterion. Review solicitations are generated and provided to enthusiast users. Review solicitations are then sent to the identified users to encourage them to submit reviews for digital goods.

Abstract: A system and method are described for intelligently distributing content to an end user based on both a particular location of the user and a date/time at which the user is at, or scheduled to be at, the particular location.

Abstract: A system and method are described for processing location-based reminders. For example, a system according to one embodiment of the invention comprises: a location database to store a plurality of different locations including event facilities, points of interest, and one or more personal locations specified by an end user, the location database associating each of the different locations with a Global Positioning System (GPS) location or range of GPS locations; a location-based reminder application to receive user input related to one or more location-based reminders, each location-based reminder associating a particular location from the location database with reminder data input by the user; and wherein, in response to detecting the user's mobile device arriving within a particular location associated with the reminder data, the location-based reminder application triggering the reminder using a visual and/or audible notification on the user's mobile device.