Real-time hotspot area recommendation system and method

Abstract

The invention provides a system and a method for recommending a hot spot area in real time. The system for recommending the hot spot area in real time comprises a server and user equipment, wherein the server comprises a GPS (global positioning system) information extraction module, a real-time data stream clustering module, a hot event mining module, a hot event library and a hot spot regional information integration module, wherein the GPS information extraction module is used for extracting GPS information from the user equipment and / or a picture sharing website; the real-time data stream clustering module is used for receiving the extracted GPS information from the GPS information extraction module and performing real-time data stream clustering on the GPS information, so that a clustering center taken as the hot spot area is obtained; the hot event mining module is used for mining a hot discussed event through an information resource sharing platform and reserving a hot event having territoriality; the hot event library is used for storing the reserved hot event having the territoriality; and the hot spot regional information integration module is used for integrating obtained hot event information and hot scenic spot information and providing the integrated hot spot area information for the user equipment.

Description

technical field [0001] The present invention relates to the field of data mining, more specifically, to a system and method for recommending hot spots to users in real time through data mining. Background technique [0002] The key to hotspot recommendation is to determine the hotspot area. Existing technologies usually count the number of user visits based on the regional information stored in the database, so as to obtain a hotspot ranking list, and then recommend hotspots to users according to their current locations, or directly recommend hotspots to users. [0003] Therefore, there are following problems in the prior art: [0004] 1. The discovery of hotspot areas is based on historical data statistics and does not have real-time performance; [0005] 2. The selection range of hotspot areas is limited to the existing location and area information database, and hotspot areas cannot be dynamically generated; [0006] 3. The discovery of hotspot areas tends to be long-t...

AI Technical Summary

Problems solved by technology

[0004] 1. The discovery of hotspot areas is based on historical data statistics and does not have real-time performance;

[0005] 2. The selection range of hotspot areas is limited to the existing location and area information database, and hotspot areas cannot be dynamically generated;

[0006] 3. The discovery of hotspot areas tends to be long-term stable areas, but cannot effectively capture hotspot areas that have become short-term hot spots due to the occurrence of major emergencies;

[0007] 4. Users cannot customize the filtering of popular events

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