Product Recommendations through Neo4j by Analyzing Patterns in Customer Purchases

Fitrio Dermawan*, Chang Hong Kwang, Muhammad Dimas Adijanto, Nur Aini Rakhmawati, Naufal Rafiawan Basara

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recommendation systems are becoming more important each day as user interaction on the Internet grows in size and complexity. To achieve better user experience and personalized choice of products for each user, it is important to create a recommendation system that takes all the interaction of a user on the Internet and analyzes it thoroughly to get a better understanding of the user. Understanding the user will benefit the business more, as each user will obtain a personalized experience based on how they act. This study focuses on utilizing a graph database to gain insight into user behavior and to develop a recommendation system based on how users act on the Internet. The recommender system will use the Neo4j database as it provides much functionality to work with, such as the Graph Data Science library and the Jaccard Similarity method. Using all the graph technologies that exist today, this study will enable businesses to provide a personalized experience to users by providing detailed, accurate, effective, and efficient recommendations.

Original languageEnglish
Title of host publication2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages624-627
Number of pages4
ISBN (Electronic)9798350372229
DOIs
Publication statusPublished - 2024
Event2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024 - Manama, Bahrain
Duration: 28 Jan 202429 Jan 2024

Publication series

Name2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024

Conference

Conference2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024
Country/TerritoryBahrain
CityManama
Period28/01/2429/01/24

Keywords

  • Neo4j
  • graph database
  • recommendation systems

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