In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …

Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model
capable of generating human-like text through natural language processing (NLP). GPT is …

Hybrid recommender systems utilize advanced algorithms capable of learning
heterogeneous sources of data and generating personalized recommendations for users …

Intelligence refers to the ability to acquire and apply knowledge and skills, which comprises
three fundamental components, namely knowledge, experience, and creativity …

In the task of modeling user preferences for movie recommender systems, recent research
has demonstrated the benefits of describing movies with their eudaimonic and hedonic …

The widespread adoption of advanced technologies, such as Artificial Intelligence (AI),
Machine Learning, and Robotics, is rapidly increasing across the globe. This accelerated …

The exponential growth of textual data has created a crucial need for tools that assist users
in extracting meaningful insights. Traditional document summarization approaches often fail …

Research in the recommender systems field typically applies a rather traditional evaluation
methodology when assessing the quality of recommendations. This methodology heavily …

Big data refers to a large amount of data generated and distributed across diverse data
sources from open, private, social, and Internet of Things (IoT). Understanding and …

Any organization needs to improve their products, services, and processes. In this context,
engaging with customers and understanding their journey is essential. Organizations have …