Peripheral interest point recommendation method for saving computing resources of networked automobile vehicle-mounted terminal

The invention relates to a peripheral interest point recommendation method for saving computing resources of a networked automobile vehicle-mounted terminal. The possible common types of travel in daily life are combined, under the support of Meituan user data, various types of POIs are screened, the sorting of stores with excellent public praise in a POI recommendation group is effectively improved, and the effect of optimizing the quality of the recommended POIs is achieved; sorting data based on public commenting data and Tencent map social sign-in data are added, and social life oriented weights are added to POI classifications of different categories to serve as new sequencing standards, so that POI recommendation groups with more comprehensive types and more reasonable sequencing are obtained. In consideration of the computing power of the vehicle-mounted terminal, a web API interface is selected to perform a data query function; detailed information of the recommended places is played to the driver in a voice broadcast mode, the influence on attention and driving actions of the driver is reduced, and the whole recommendation process better conforms to living safety and entertainment requirements.