|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Tanvir Islam and Peter Washington
Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile sensing research because real-time stress prediction can enable digital interv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis and George E. Tsekouras
Recommender systems have become indispensable tools in the hotel hospitality industry, enabling personalized and tailored experiences for guests. Recent advancements in large language models (LLMs), such as ChatGPT, and persuasive technologies have opene...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Markos Konstantakis, Yannis Christodoulou, John Aliprantis and George Caridakis
In recent years, Recommendation Systems (RSs) have gained popularity in different scientific fields through the creation of (mostly mobile) applications that deliver personalized services. A mobile recommendation system (MRS) that classifies in situ visi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alireza Javadian Sabet, Mahsa Shekari, Chaofeng Guan, Matteo Rossi, Fabio Schreiber and Letizia Tanca
One of the travelers? main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to solve ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Somaiieh Rokhsaritalemi, Abolghasem Sadeghi-Niaraki, Ho-San Kang, Jong-Won Lee and Soo-Mi Choi
Increasing global demand for travel has drawn public attention to the tourism industry. This industry needs the design of intelligent systems based on new concepts to facilitate better service delivery. To this end, this study proposes a ubiquitous touri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Victor Ponce and Bessam Abdulrazak
Context-aware application development frameworks enable context management and environment adaptation to automatize people?s activities. New technologies such as 5G and the Internet of Things (IoT) increase environment context (from devices/services), ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Akrivi Krouska, Katerina Kabassi, Christos Troussas and Cleo Sgouropoulou
Environmental awareness refers to the understanding of the importance of protecting the natural environment. Digital technologies can play an important role in raising awareness of environmental issues. In view of this compelling need, this paper present...
ver más
|
|
|
|
|
|