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Volume 1, Issue 2 (In Progress) - Table of Contents

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Open Access | Review Article | 14 December 2025
A Review on Privacy and Security in Dynamic Social Networks: Techniques, Challenges, and Future Directions
Next-Generation Computing Systems and Technologies | Volume 1, Issue 2: 79-90, 2025 | DOI: 10.62762/NGCST.2025.232051
Abstract
Owing to their dynamic user interactions, ever-changing structure, and real-time content changes, dynamic social networks pose significant privacy and security risks. The state of security and privacy-preserving techniques in these developing platforms is thoroughly examined in this study. We highlight the benefits and drawbacks of various approaches as we review recent studies on privacy-preserving tactics, security updates, and anonymisation methods. Important findings indicate that present approaches often fail in dynamic situations, even when they operate well in static network conditions. Beyond common problems, we also point out important security aspects influenced by hierarchical sys... More >

Graphical Abstract
A Review on Privacy and Security in Dynamic Social Networks: Techniques, Challenges, and Future Directions

Open Access | Research Article | 08 December 2025
Dynamic Hybrid Recommendation Approach for Improving Accuracy in E-Commerce with Limited User Data
Next-Generation Computing Systems and Technologies | Volume 1, Issue 2: 62-78, 2025 | DOI: 10.62762/NGCST.2025.832339
Abstract
The 'Cold Start' problem, characterized by insufficient transaction history leading to inefficient personalization, represents one of the frequent challenges encountered in e-commerce systems. This issue, along with data sparsity resulting from limited product interactions, further complicates the reliability of conventional recommendation engines. The objective of this research is to design a novel hybridized recommendation system that enhances both security and suggestion accuracy by dynamically adapting to user interactions in digital environments. By leveraging contextual information and sequential user behavior patterns, the proposed method addresses gaps left by traditional recommender... More >

Graphical Abstract
Dynamic Hybrid Recommendation Approach for Improving Accuracy in E-Commerce with Limited User Data

Open Access | Research Article | 07 December 2025
AI-driven Data Management of Traditional Tunisian Nutritional Dishes: A Cultural Heritage Conservation
Next-Generation Computing Systems and Technologies | Volume 1, Issue 2: 54-61, 2025 | DOI: 10.62762/NGCST.2025.714702
Abstract
The potential loss of traditional Tunisian dishes threatens the sustainability of valuable cultural and nutritional traditions. To help preserve this rich heritage, a conversational AI system has been developed that employs advanced language processing and machine learning techniques to bring Tunisia’s culinary traditions to life in a digital space. Multilingual transformer models have been adapted to understand Tunisian dialects and combined with a detailed Food Heritage Knowledge Graph, allowing personalized, interactive access to authentic recipes and the stories behind them. A hybrid dialogue system operated by a chatbot has been implemented to ensure smooth, meaningful conversations t... More >

Graphical Abstract
AI-driven Data Management of Traditional Tunisian Nutritional Dishes: A Cultural Heritage Conservation