From Fingerprint to Footprint: Using Point of Interest (POI) Recommendation System in Marketing Applications

• Main Authors: Pipiet Larasatie, Sulis Setiowati
• Format: Article
• Language: English
• Published: Institut Teknologi Bandung 2019-08-01
• Series: Asian Journal of Technology Management
• Subjects: Digitalisation; user-based collaborative filtering; location-based social networks; K-Means+ clustering; DBI method
• Online Access: http://dx.doi.org/10.12695/ajtm.2019.12.2.4

Abstract. Companies should be willing to adopt new technologies and business models to be able to stay competitive in the changing world, both regionally and globally. However, the US forest sector industry, including wood furniture sector seems to be lagging when it comes to implementing digital technologies. This study proposes a design of Point of Interest (POI) recommendation system to enhance the marketing practices to promote wood furniture stores. We produced a personal recommendation design utilising K-Means+ clustering, a combination between K-Means algorithm for spatial data clustering and Davies-Bouldin Index (DBI) methods to determine the optimal K value. This design can assist mobile users who are potential customers to find wood furniture store locations based on other users’ preferences. Keywords: Digitalisation; location-based social networks; user-based collaborative filtering; K-Means+ clustering; DBI method