Abstract: A plurality of abbreviated names are generated for evaluation based on a full name of a point-of-interest (POI) on a map. A plurality of address names comprising the full name of the POI or any of the abbreviated names to be evaluated are obtained from a predetermined area of the POI. A phrase status vector used to indicate a location status of the target phrase in each particular address name is calculated for a target phrase based on each address name, the target phrase including the full name of the POI or any of the abbreviated names to be evaluated. A similarity is calculated between a phrase status vector for the full name of the POI and a phrase status vector. A particular abbreviated name corresponding with a calculated similarity greater than a predetermined threshold is associated with the full name of the POI corresponding to the calculated similarity.

Abstract: Textual information related to user information from user service information is identified. A layered matching is performed on the textual information based on preset background identification information in a preset list, wherein the layered matching includes different matching methods, and the preset list includes a plurality of entries storing different preset background identification information related to the user information. The user information is determined based on the layered matching.

Abstract: A plurality of abbreviated names are generated for evaluation based on a full name of a point-of-interest (POI) on a map. A plurality of address names comprising the full name of the POI or any of the abbreviated names to be evaluated are obtained from a predetermined area of the POI. A phrase status vector used to indicate a location status of the target phrase in each particular address name is calculated for a target phrase based on each address name, the target phrase including the full name of the POI or any of the abbreviated names to be evaluated. A similarity is calculated between a phrase status vector for the full name of the POI and a phrase status vector. A particular abbreviated name corresponding with a calculated similarity greater than a predetermined threshold is associated with the full name of the POI corresponding to the calculated similarity.

Abstract: A request is received for a service from an application of a mobile computing device. A latitude and a longitude of a geographic location associated with the mobile computing device is determined. The geographic location is mapped to a corresponding location on an embedded map associated with the application, where the embedded map is divided into a plurality of level 1 grids. A level 1 grid is determined in which the corresponding location is located. A granularity corresponding to a geographic distance is determined. The granularity is converted into a corresponding step size on the embedded map. The level 1 grid is divided into a plurality of level 2 grids based on the corresponding step size.

Abstract: A plurality of abbreviated names are generated for evaluation based on a full name of a point-of-interest (POI) on a map. A plurality of address names comprising the full name of the POI or any of the abbreviated names to be evaluated are obtained from a predetermined area of the POI. A phrase status vector used to indicate a location status of the target phrase in each particular address name is calculated for a target phrase based on each address name, the target phrase including the full name of the POI or any of the abbreviated names to be evaluated. A similarity is calculated between a phrase status vector for the full name of the POI and a phrase status vector. A particular abbreviated name corresponding with a calculated similarity greater than a predetermined threshold is associated with the full name of the POI corresponding to the calculated similarity.

Abstract: A request is received for a service from an application of a mobile computing device. A latitude and a longitude of a geographic location associated with the mobile computing device is determined. The geographic location is mapped to a corresponding location on an embedded map associated with the application, where the embedded map is divided into a plurality of level 1 grids. A level 1 grid is determined in which the corresponding location is located. A granularity corresponding to a geographic distance is determined. The granularity is converted into a corresponding step size on the embedded map. The level 1 grid is divided into a plurality of level 2 grids based on the corresponding step size.

Abstract: A request is received for a service from an application of a mobile computing device. A latitude and a longitude of a geographic location associated with the mobile computing device is determined. The geographic location is mapped to a corresponding location on an embedded map associated with the application, where the embedded map is divided into a plurality of level 1 grids. A level 1 grid is determined in which the corresponding location is located. A granularity corresponding to a geographic distance is determined. The granularity is converted into a corresponding step size on the embedded map. The level 1 grid is divided into a plurality of level 2 grids based on the corresponding step size.

Abstract: A request is received for a service from an application of a mobile computing device. A latitude and a longitude of a geographic location associated with the mobile computing device is determined. The geographic location is mapped to a corresponding location on an embedded map associated with the application, where the embedded map is divided into a plurality of level 1 grids. A level 1 grid is determined in which the corresponding location is located. A granularity corresponding to a geographic distance is determined. The granularity is converted into a corresponding step size on the embedded map. The level 1 grid is divided into a plurality of level 2 grids based on the corresponding step size.

Abstract: A plurality of abbreviated names are generated for evaluation based on a full name of a point-of-interest (POI) on a map. A plurality of address names comprising the full name of the POI or any of the abbreviated names to be evaluated are obtained from a predetermined area of the POI. A phrase status vector used to indicate a location status of the target phrase in each particular address name is calculated for a target phrase based on each address name, the target phrase including the full name of the POI or any of the abbreviated names to be evaluated. A similarity is calculated between a phrase status vector for the full name of the POI and a phrase status vector. A particular abbreviated name corresponding with a calculated similarity greater than a predetermined threshold is associated with the full name of the POI corresponding to the calculated similarity.

Abstract: Textual information related to user information from user service information is identified. A layered matching is performed on the textual information based on preset background identification information in a preset list, wherein the layered matching includes different matching methods, and the preset list includes a plurality of entries storing different preset background identification information related to the user information. The user information is determined based on the layered matching.