Abstract

Due to the limitations of mobile phone positioning technology in the past, it is difficult for an advertising system to obtain users’ locations. Although there are many advertising delivery ideas in the market, time and location-based advertising delivery system have not been able to meet the delivery needs of advertisers. This study investigates various time and location-based advertising needs in the market and finds a universal data processing model that can quickly organize user positioning data from telecom base stations into screening information. It helps us to find specific audiences and to deliver advertisements to target audiences quickly. This study evaluated various advertising scenarios’ effectiveness and explained why there is a performance gap usually between five to ten times worse compared to the past. This study discusses the problems encountered when implementing the advertising system and how to improve them. This study also examines advertising interaction methods based on 5G features, business cooperation and profit splitting with telecom operators, and more diversified data application orientations and possibilities such as market surveys, urban traffic, security issues, and epidemic prevention. The future challenge is to develop footprint tracking technologies based on 5G and provide smart cities with lives-protecting or cost-saving solutions.

Highlights

  • Advertising has always been an indispensable element in the business world

  • We can use the RSSI signal strength of BLE to improve the accuracy of indoor footprint tracking [1] or, as mentioned here [2], we can use a specific grouping method to improve the accuracy of WiFi for footprint tracking in multi-floor buildings

  • Our goal is to develop an platform that uses time and location as the screening element with 5G base station data

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Summary

Introduction

Advertising has always been an indispensable element in the business world. Since the internet began to flourish in 2000, online advertising has always been closely related to our lives. What has not changed, whether it is online or mobile advertising, is the fact that it is tough to obtain audiences’. All advertising systems have always cared about the audiences’ location since if the audiences’ position can be obtained, the audiences’ identity can be more effectively distinguished. In the early days of non-mobile advertising, the advertising system was often only able to judge the audiences’ location based on the audiences’ connection IP. This was a suitable method in the early days since the IP locations of cities, schools, or institutions are fixed. If an audience is in a place where the IP cannot be determined, it is impossible to know its location.

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