Research on the General Algorithm and Benefit of Real-Time Positioning Advertising System—Based on the Use of 5G Base Station Data
| Autor: | Sheng-Ming Wang, Wei-Min Cheng |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Data processing
Profit (accounting) Computer Networks and Communications Computer science 5G advertising 020206 networking & telecommunications Advertising Information technology 02 engineering and technology T58.5-58.64 artificial intelligence Positioning technology Footprint Base station Mobile phone 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing base station data advertising system telecoms General algorithm 5G |
| Zdroj: | Future Internet Volume 13 Issue 8 Future Internet, Vol 13, Iss 187, p 187 (2021) |
| ISSN: | 1999-5903 |
| DOI: | 10.3390/fi13080187 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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