Extraction method of public map service user's city visit behavior and poi type association rules

Abstract

The invention discloses a method for extracting association rules between user city access behaviors and POI types of public map services, including collecting access logs generated during long-term operation of public map services, constructing a time series of access arrival rates of group users, and extracting long-term patterns of user access; Optimal segmentation of time series to obtain short-term user access patterns; obtain spatial characteristics of user access behavior for spatial analysis; use POI to describe urban spatial structure, map public map service user access behavior to POI, and obtain POI types and user access patterns table of association rules. The invention mines massive log data of public map services, extracts long-term granularity and short-term granularity user access patterns and the correlation with urban structures, and quantitatively obtains association rules between city POI types and user access patterns, which is helpful for a deep understanding of human beings. The relationship between behavior and the internal structure of the city provides decision support for urban resource allocation and planning management.

Description

technical field [0001] The present invention relates to the technical field of network space information services, in particular to a method for extracting public map service users' city visit behaviors and POI (Point of Interest, point of interest) type association rules. Background technique [0002] is playing an increasingly important role, and the acquisition of public map service users' access behavior will help to understand the relationship between users' spatiotemporal behavior and cities. The rich knowledge hidden in these user access data is far from being fully explored and utilized. The current urban problems are mainly problems between people and cities. These massive user visits to cities provide us with a data basis for in-depth understanding of the relationship between people and cities, and for analyzing the crux of urban problems. Therefore, how to extract useful information from massive human-city interaction data has become an urgent problem to be solve...

AI Technical Summary

Problems solved by technology

[0007] The present invention will aim at the problem of lack of utilization of information at the spatial level of public map service data, and provide a method for extracting public map service user city visit behavior and POI (Point of Interest, point of interest) type association rules

Images