Abstract: This disclosure relates to systems and methods for determining information associated with a user. In certain embodiments, various attributes, interest, and/or other demographic information related to a user may be determined based on information may be obtained from personal electronic devices associated with the user. User attribute models used to predict user attributes and/or demographics may be generated and trained based on inferred user interests and available label data. In some embodiments, information reflecting which applications and/or types of applications are installed and/or frequently used by a user on their personal electronic devices may be used in connection with determining interests associated with the user. Further embodiments of the systems and methods disclosed herein relate to determining various information associated with a user based on location information indicative of a user's location obtained from one or more personal electronic devices associated with the user.

Abstract: The present invention provides a method and system for determining revenue margin for a bidder for an advertisement slot. The method and system include receiving a candidate set of inputs associated with an advertisement impression and a specified advertisement campaign from an advertiser. Further, the method and system include computing a probable amount of money to be paid to a publisher of the advertising slot and calculating a probable amount of money to be received from the advertiser. In addition, the method and system include determining the revenue margin for the advertisement slot based on difference of the probable amount of money to be paid to the publisher and the probable amount of money to be received from an advertiser for the candidate set of inputs. The probable amount of money to be received from the advertiser is based on an analysis of historical data for the advertising slot.