Joint promotion partner recommendation systems using data from location-based social networks

Yi Chung Chen, Hsi Ho Huang, Sheng Min Chiu, Chiang Lee

研究成果: Article同行評審

4 引文 斯高帕斯(Scopus)

摘要

Joint promotion is a valuable business strategy that enables companies to attract more customers at lower operational cost. However, finding a suitable partner can be extremely difficult. Conventionally, one of the most common approaches is to conduct survey-based analysis; however, this method can be unreliable as well as time-consuming, considering that there are likely to be thousands of potential partners in a city. This article proposes a framework to recommend Joint Promotion Partners using location-based social networks (LBSN) data. We considered six factors in determining the suitability of a partner (customer base, association, rating and awareness, prices and star ratings, distance, and promotional strategy) and developed efficient algorithms to perform the required calculations. The effectiveness and efficiency of our algorithms were verified using the Foursquare dataset and real-life case studies.

原文English
文章編號57
期刊ISPRS International Journal of Geo-Information
10
發行號2
DOIs
出版狀態Published - 2021 2月 1

All Science Journal Classification (ASJC) codes

  • 地理、規劃與發展
  • 地球科學電腦
  • 地球與行星科學(雜項)

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