FAST LOCAL RECOMMENDER QUERIES VIA MODIFIED SPATIAL DATA STRUCTURE QUERYING

摘要

Fast local recommendation questions through the transformed spatial data structure question are provided to make the recommendation about the leisure activities facilitated by using the space database. A recommendation manager(150) receives one or more activity types(100), and receives one boundary(110) as a nearness metric(120). The recommendation manager receives the location information(130) related to the computing device(140) of user, and segmentalizes leisure activity data based on the physical position. In order to distinguish the cell in which cells nearing is stored in the linked space database based on the metric standard, the location information is used. The recommendation manager searches the set of the leisure activities having within boundary in relation with cell from the space database.