User Modeling and Recommender Systems
Journal: Frontiers in Big Data
User modeling and recommender systems play a fundamental role in delivering personalized information, services, and experiences across a wide range of digita...
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Frontiers in Big Data call for papers
Current call-for-papers opportunities for Frontiers in Big Data. Ranking signals: Indexed (Active), JIF 2.3. Use the official publisher page to verify scope and submission rules.
Accepting CFPs for Frontiers in Big Data
User Modeling and Recommender Systems
Journal: Frontiers in Big Data
User modeling and recommender systems play a fundamental role in delivering personalized information, services, and experiences across a wide range of digita...
Agentic Sycophancy: Balancing Adaptation and Truth
Journal: Frontiers in Big Data
Large language models face a fundamental tension between adaptation and factual integrity. Adaptive reasoning lets a model align with a user’s style, prefere...
Agentic Sycophancy: Balancing Adaptation and Truth
Journal: Frontiers in Big Data
Large language models face a fundamental tension between adaptation and factual integrity. Adaptive reasoning lets a model align with a user’s style, prefere...
Big Data Mining and Intelligent Analytics for Industrial Systems Under Uncertainty
Journal: Frontiers in Big Data
Modern industrial systems generate large volumes of heterogeneous data from sensors, control systems, maintenance records, simulations, and operational logs....
Big Data Mining and Intelligent Analytics for Industrial Systems Under Uncertainty
Journal: Frontiers in Big Data
Modern industrial systems generate large volumes of heterogeneous data from sensors, control systems, maintenance records, simulations, and operational logs....
Resource-Efficient Distributed and Parallel Computing for Big Data
Journal: Frontiers in Big Data
Distributed and parallel computing are fundamental to contemporary data science, enabling the storage, processing, and analysis of increasingly large and com...
Resource-Efficient Distributed and Parallel Computing for Big Data
Journal: Frontiers in Big Data
Distributed and parallel computing are fundamental to contemporary data science, enabling the storage, processing, and analysis of increasingly large and com...
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