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US 8,914,044 B2Granted
Method and system for associating context information with defined location data
AssigneeVerizon Patent and Licensing Inc.
InventorsMadhusudan Raman, Renu Chipalkatti
Life of this patent
Estimating the term…
Abstract
An approach for enabling contextual categories to be associated and scored in connection with a defined geographic region is described. An affinity determination platform identifies an anomaly in a score associated with at least one contextual category of a defined geographic region based on information related to the points-of-interest. The affinity determination platform generates an updated score to associate with the at least one contextual category based on the analysis of verification information related to the defined geographical region and associates the updated score with the contextual category.
Claims20
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.
3 more elements
An apparatus comprising:
- at least one processor;
- and
- at least one memory including computer program code for one or more programs,
- the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,
- 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.
7 more elements
A system comprising:
- a categories repository for maintaining category data for one or more contextual categories;
- a grid repository for maintaining grid data for a defined geographic region;
- and
- an affinity determination platform configured to:
- determine scores associated with the one or more contextual categories for the 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;
- identify 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;
- generate 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
- associate 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.
7 more elements
Dependencies are inferred from the claim text.