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Ontology-Based E-Commerce Recommender System: A Hybrid Semantic Filtering Approach

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Ontology-Based E-Commerce Recommender System: A Hybrid Semantic Filtering Approach

Jocelyn Pua et al · MMU Press · 2026 · ISSN 2821-370X

The rapid growth of e-commerce has led to product overload, which has resulted in personalized product discovery becoming a crucial problem for consumers. Classic recommender systems (RS), which rely heavily on content-b...

LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng

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A Conceptual Framework on Development of Sign Language Chatbot for E-Commerce

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A Conceptual Framework on Development of Sign Language Chatbot for E-Commerce

Salma Jahan Nisha et al · MMU Press · 2026 · ISSN 2821-370X

This study proposes and validates a conceptual framework using a sign language (SL) chatbot in the e-commerce domain to improve accessibility. Currently, the use of SL is a less-explored area in online platforms. It is d...

LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng

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A deep learning architecture for analyzing and predicting customer churn data in e-commerce

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A deep learning architecture for analyzing and predicting customer churn data in e-commerce

Mohammed Majid Msallam et al · PeerJ Inc · 2026 · ISSN 2376-5992

E-commerce companies face fierce competition. For e-commerce companies to succeed, they must keep and attract customers by offering them the best affordable services. Taking appropriate and timely actions to keep custome...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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Regulating Indonesia’s digital economy: Balancing growth, inclusion, and governance

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Regulating Indonesia’s digital economy: Balancing growth, inclusion, and governance

Wishnu Agung Baroto · Cambridge University Press · 2026 · ISSN 2632-3249

Indonesia’s rapid digital transformation generates massive economic opportunities while posing new regulatory challenges. This study examines how Indonesia’s digital economy is governed through key regulatory domains...

LCC TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~; TENDOlBvbGl0aWNhbCBpbnN0aXR1dGlvbnMgYW5kIHB1YmxpYyBhZG1pbmlzdHJhdGlvbiAoR2VuZXJhbCIdioma eng

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Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles

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Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles

Joyjit Roy et al · IEEE · 2026 · ISSN 2169-3536

Customer churn prediction is essential across data-driven industries such as insurance, digital banking, e-commerce, and subscription platforms, where retaining existing customers is typically more cost-effective than ac...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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