OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations

OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations

The abundance of information on online purchasing websites makes it challenging for customers to locate products that match their preferences. However, the cold-start problem arises when there isn’t enough previous data, making it harder to make accurate recommendations for new customers...

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Bibliographic Details
Main Authors: Ghulam Mustafa, Naveed Ahmad Jhamat, Zeeshan Arshad, Nadia Yousaf, Md. Nazmul Abdal, Mohammed Maray, Dokhyl Alqahtani, Mohamad Amir Merhabi, Muhammad Abdul Aziz, Touseef Ahmad
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
e-commerce
hybrid recommender system
ontology
recommender systems
sequential pattern mining (SPM)
Online Access:https://ieeexplore.ieee.org/document/10472017/
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https://ieeexplore.ieee.org/document/10472017/

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