Patent Document ID: 8914044
Application ID: 13475592

Base Claim:
1. A method comprising: determining scores associated with one or more contextual categories for a defined geographic region, the scores indicating a level of affinity between points-of-interest located within the defined geographic region and the one or more contextual categories; identifying an anomaly in a score associated with at least one of the one or more contextual categories based on information related to the points-of-interest; generating an updated score to associate with the at least one contextual category, based on an analysis of verification information related to the defined geographical region and on a normalization of the scores and the score with the anomaly by reduction with a normalization factor corresponding to a total number of the points-of-interest; and associating the updated score with the at least one contextual category, wherein the level of affinity is based on a density, a concentration, a rate of occurrence, or a combination thereof, of the points-of-interest associated with the one or more contextual categories, for the defined geographic region.

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Claim 2:
2. A method of claim 1 , further comprising: updating, in real-time, signal strengths to associate with the one or more contextual categories based on predictive modeling of the scores and the updated score; and associating the scores, the updated score and the signal strengths with the defined geographic region.