Abstract: A computer-based method for use in geotargeting online ads to users of search engines by allowing comparison of user's search terms with a set of geo-keywords. The method includes providing a geographic keyword generator on a server that is linked to the Internet. The method includes providing a spatial database storing classes of geographic keywords. The method continues with receiving a keyword request including a business address from a client node. The keyword generator determines a service area based on this location, and a set of geographic keywords is retrieved from the spatial database that are associated (e.g., within) the determined service area. This set of keywords is transmitted or reported to the client node (e.g., displayed in a web browser or user interface) for use in geotargeting of their online advertisements. The keyword request includes a business type, and the service area is sized based on the business type.

Abstract: A computer-based method for use in geotargeting online ads to users of search engines by allowing comparison of user's search terms with a set of geo-keywords. The method includes providing a geographic keyword generator on a server that is linked to the Internet. The method includes providing a spatial database storing classes of geographic keywords. The method continues with receiving a keyword request including a business address from a client node. The keyword generator determines a service area based on this location, and a set of geographic keywords is retrieved from the spatial database that are associated (e.g., within) the determined service area. This set of keywords is transmitted or reported to the client node (e.g., displayed in a web browser or user interface) for use in geotargeting of their online advertisements. The keyword request includes a business type, and the service area is sized based on the business type.

Abstract: A computer-based method for use in geotargeting online ads to users of search engines by allowing comparison of user's search terms with a set of geo-keywords. The method includes providing a geographic keyword generator on a server that is linked to the Internet. The method includes providing a spatial database storing classes of geographic keywords. The method continues with receiving a keyword request including a business address from a client node. The keyword generator determines a service area based on this location, and a set of geographic keywords is retrieved from the spatial database that are associated (e.g., within) the determined service area. This set of keywords is transmitted or reported to the client node (e.g., displayed in a web browser or user interface) for use in geotargeting of their online advertisements. The keyword request includes a business type, and the service area is sized based on the business type.

Abstract: A computer-based method for use in geotargeting online ads to users of search engines by allowing comparison of user's search terms with a set of geo-keywords. The method includes providing a geographic keyword generator on a server that is linked to the Internet. The method includes providing a spatial database storing classes of geographic keywords. The method continues with receiving a keyword request including a business address from a client node. The keyword generator determines a service area based on this location, and a set of geographic keywords is retrieved from the spatial database that are associated (e.g., within) the determined service area. This set of keywords is transmitted or reported to the client node (e.g., displayed in a web browser or user interface) for use in geotargeting of their online advertisements. The keyword request includes a business type, and the service area is sized based on the business type.

Abstract: A computer-based method for creating a data structure for informal geographic spaces for use with geocoded databases. A set of data is stored in memory for a geographic region, and a plurality of neighborhoods is identified in the geographic region based on processing of the stored set of data. The method includes generating a boundary definition for each of the neighborhoods by processing neighborhood definition information. A data structure is created in the memory for containing neighborhood data content with at least one record for each of the neighborhoods. The data structure is populated by storing, for each neighborhood, the generated boundary definition along with a neighborhood name and identifier in the records of data structure. The boundary definition may be created by combining two or more definitions identified for a single neighborhood to provide a more inclusive geometry such as by aligning the geometries and performing an additive algorithm.