From Fingerprint to Footprint: Using Point of Interest (POI) Recommendation System in Marketing Applications
| Main Authors: | Larasatie, Pipiet; Wood Science and Engineering Department, College of Forestry, Oregon State University, USA, Setiowati, Sulis; Electrical Engineering Department, Jakarta State Polytechnic, Indonesia |
|---|---|
| Other Authors: | LPDP, Oregon State Universityâ€TMs Wood Science and Engineering Department |
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
School of Business and Management Institut Teknologi Bandung
, 2019
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| Subjects: | |
| Online Access: |
https://journal.sbm.itb.ac.id/index.php/ajtm/article/view/3098 https://journal.sbm.itb.ac.id/index.php/ajtm/article/view/3098/pdf_54 |
Daftar Isi:
- 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