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Research and Implementation of a Shopping Path Management System Based on WIFI Technology

Author: PangHao
Tutor: LiJiYun
School: Donghua University
Course: Computer Software and Theory
Keywords: WIFI Technology Wireless Location Preference Paths Best Sales Paths Hot areas
CLC: TP311.52
Type: Master's thesis
Year: 2012
Downloads: 56
Quote: 0
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Abstract


Nowadays the wireless network technology develops rapidly, which promote the development of wireless location service areas. The wireless location technology gains great success in medical measures, instruments managements and business intelligence areas. In business intelligence areas, the research on the shopping path is an important application. The shopping path is defined as the line produced by the customer moving in the shop. The shopping path can show the preferences of the customers towards the different areas. The pass rate, the stay rate and the buy rate is the most three important parameters of the shopping path, and they represent the layout, attraction and sales value of the shop. And these parameters are the center points of the research work. The research of the shopping path can be divided into two paths:data collecting and data analysis. There are two kinds of methods to collect the shopping path data:the manual work and the automatic work. Comparing the former, the latter has nicety, easiness and safe priorities. Considering its low cost and convenience to use, we propose a WIFI deployment model for collecting and analyzing the customers’ shopping path data and purchased items data.In this paper, we do research work of the generation algorithms of preference paths and hot areas. To solve the problems of forever looping paths and break paths which are easily appeared while using the User Access Matrix (UAM) and Customer Access Matrix (CAM) algorithms, we propose a Preference and Cluster based generation Graph (PCG) algorithm. To solve the problems of definition mistiness and absence of a measuring standard and classification of hot areas, we propose a definition of hot degree based on the numbers of location messages, a radius step rising detection algorithm to calculate the location messages, and an improved k-means cluster algorithm for the classification of areas’ hot degrees.On the basis of the above study, we design and implement a Shopping path administration system based on WIFI, which can show the customers’ location information and history tracks, the pass rate, the stay rate,the sales rate and so on.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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