E-business applications recommendation for SMES using advanced user-based collaboration filtering

Research output: Contribution to journalArticlepeer-review

Abstract

The adoption of e-business for Small and Medium Enterprises (SMEs) shou-ld be easy to use, minimum customization, and not subject to infrastructure procurement. However, each SME has very diverse characteristics, so that one-size-fits-all system is not the right solution. In this study, a recommendation system for e-business applica-tions is proposed for SMEs based on their characteristics. Recommendations are made using advanced user-based collaborative filtering, which is the improvement of the User-based Collaborative Filtering (UCF) algorithm. At UCF, SMEs give the same or similar preferences to an e-business application, and it can be said that SMEs have similar re-quirements. Thus, those SMEs will likely give the same preference to other e-business applications. In the proposed advanced UCF, besides using SMEs preference data it also uses SME characteristic data to produce recommendations. This approach is used by considering that SMEs that have just used the recommendation system do not yet have a historical preference for e-business applications. For this reason, recommendations can be made by considering the characteristics of the organization. Thus, it is expected that SMEs can use e-business applications that are appropriate to the characteristics of the organization. This approach is expected to increase the adoption of e-business in SMEs.

Original languageEnglish
Pages (from-to)517-526
Number of pages10
JournalICIC Express Letters
Volume15
Issue number5
DOIs
Publication statusPublished - May 2021

Keywords

  • Advanced UCF
  • Collaborative filtering
  • E-business
  • Recommendation system
  • SMEs

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