NDLI: Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks

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Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks

Content Provider	MDPI
Author	Chen, Yi-Chung Huang, Hsi-Ho Chiu, Sheng-Min Lee, Chiang
Copyright Year	2021
Description	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.
Starting Page	57
e-ISSN	22209964
DOI	10.3390/ijgi10020057
Journal	ISPRS International Journal of Geo-Information
Issue Number	2
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-01-30
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Ergonomics Joint Promotion Recommendation Systems Location-based Social Network Check-ins
Content Type	Text
Resource Type	Article

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