Stroe Evaluation System Based On WiFi Probe Signal

To make businesses understand the traffic flow of their shops better,there are many ways for online shops to calculate the traffic and dig the information behind it.Like online shops,a large number of offline shops businesses are also eager to understand their own shops operating conditions better.However,for the information collection equipment is expensive and difficult to set up,it is too difficult to get information hidden in traffic and quantify the value of their own shops and their competitors.In recent years,smartphones have gained tremendous popularity.All shopping malls have also laid a WiFi router for everyone to use.The interaction between a WiFi router and a cell phone will carry some information.This information brings another possibility to the offline shops,make them more intelligent and informational.This topic intended to take advantage of WiFi’s cheap and convenient feature,provide a quantitative evaluation system for offline shops.We use WiFi router to detect the surrounding traffic conditions,then use page-rank,FP-growth,CBOW algorithm to dig the information hidden behind.Let offline businesses can effectively know the positioning of their own shops and the relationship with other businesses.This topic calculates the shop scores more accurate due to the introduction of the passenger flow between shops.Feature vector can also show the similarity between shops which are often visited together.