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Ontology-Based Relational Product Recommendation System.

Aisha Alsobhi1, Ngiste Amare2

  • 1Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.

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Summary
This summary is machine-generated.

This study enhances e-commerce product recommendations by integrating domain ontologies to capture complex product relationships. This approach improves suggestions for complex items, overcoming limitations of traditional filtering methods.

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Area of Science:

  • Computer Science
  • Information Science
  • Artificial Intelligence

Background:

  • E-commerce product recommendations are crucial for customer experience and sales.
  • Traditional methods like collaborative and content-based filtering struggle with complex products and new users.
  • Existing approaches often overlook intricate product relationships and semantic nuances.

Purpose of the Study:

  • To improve product recommendation systems by incorporating domain ontologies.
  • To address the limitations of traditional filtering methods in handling complex products and semantic relationships.
  • To leverage relational data within domain ontologies for more precise recommendations.

Main Methods:

  • Integrating domain ontologies to represent relational product data.
  • Developing a recommendation engine that utilizes this integrated relational data.
  • Testing the proposed infrastructure using book recommendation data from an online bookseller.

Main Results:

  • The study demonstrates the feasibility of using domain ontologies to enrich recommendation data.
  • The proposed method shows potential for more accurate recommendations, especially for complex items.
  • The integration of relational data enhances the understanding of product connections.

Conclusions:

  • Domain ontologies offer a powerful way to represent complex product relationships for recommendation systems.
  • This approach can overcome the limitations of traditional filtering methods, leading to better user experiences.
  • Further research can explore broader applications of ontology-based recommendations across different e-commerce domains.