141   Artículos

 
en línea
Ce Li, Li Wang, Quanzhi Li and Dongxuan Wang    
This application mainly detects the visual attention content and handles operation information in the students? IVR video and visualizes the detection information after the detection is completed. Visualization can be displayed in the following three for... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Liu Yang, Gang Wang and Hongjun Wang    
Aligned with global Sustainable Development Goals (SDGs) and multidisciplinary approaches integrating AI with sustainability, this research introduces an innovative AI framework for analyzing Modern French Poetry. It applies feature extraction techniques... ver más
Revista: Information    Formato: Electrónico

 
en línea
Tamim Mahmud Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis and George Dimitrakopoulos    
Recommender systems are a key technology for many applications, such as e-commerce, streaming media, and social media. Traditional recommender systems rely on collaborative filtering or content-based filtering to make recommendations. However, these appr... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Margarida Mendonça and Álvaro Figueira    
As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, manipulation, and ... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Aileen C. Benedict and Zbigniew W. Ras    
The paper concerns the problem of action-rule extraction when datasets are large. Such rules can be used to construct a knowledge base in a recommendation system. One of the popular approaches to construct action rules in such cases is to partition the d... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Christos Troussas, Akrivi Krouska, Antonios Koliarakis and Cleo Sgouropoulou    
Recommender systems are widely used in various fields, such as e-commerce, entertainment, and education, to provide personalized recommendations to users based on their preferences and/or behavior. ?his paper presents a novel approach to providing custom... ver más
Revista: Computers    Formato: Electrónico

 
en línea
William Villegas-Ch and Joselin García-Ortiz    
In the digital age, the personalization of learning has become a critical priority in education. This article delves into the cutting-edge of educational innovation by exploring the essential role of ontology-based knowledge representation in transformin... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Olurotimi Oguntola and Steven Simske    
This study proposes a framework for a systems engineering-based approach to context-aware personalization, which is applied to e-commerce through the understanding and modeling of user behavior from their interactions with sales channels and media. The f... ver más
Revista: Information    Formato: Electrónico

 
en línea
Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos and Stefanos Ougiaroglou    
Collaborative filtering has proved to be one of the most popular and successful rating prediction techniques over the last few years. In collaborative filtering, each rating prediction, concerning a product or a service, is based on the rating values tha... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi, Abd Kadir Mahamad and Sharifah Saon    
Online services, ambient services, and recommendation systems take user preferences into data processing so that the services can be tailored to the customer?s preferences. Associative rules have been used to capture combinations of frequently preferred ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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