Enabling technologies for urban smart mobility: Recent trends, opportunities and challenges

S Paiva, MA Ahad, G Tripathi, N Feroz, G Casalino - Sensors, 2021 - mdpi.com
The increasing population across the globe makes it essential to link smart and sustainable
city planning with the logistics of transporting people and goods, which will significantly …

[HTML][HTML] Smart tourism: State of the art and literature review for the last six years

A Kontogianni, E Alepis - Array, 2020 - Elsevier
In the modern era, the tourism sector has grown to be one of the dominant sectors globally
while technology continues to evolve. These facts have given birth to the “Smart Tourism” …

Context Aware Recommendation Systems: A review of the state of the art techniques

S Kulkarni, SF Rodd - Computer Science Review, 2020 - Elsevier
Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …

A survey of user profiling: State-of-the-art, challenges, and solutions

CI Eke, AA Norman, L Shuib, HF Nweke - IEEE Access, 2019 - ieeexplore.ieee.org
Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …

Smart mobility adoption: A review of the literature

C Bıyık, A Abareshi, A Paz, RA Ruiz, R Battarra… - Journal of open …, 2021 - mdpi.com
Traffic congestion and air pollution continue to be serious concerns, especially in large
cities, and going forward, this is not sustainable. Urban transport around the world is facing …

AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions

M del Carmen Rodríguez-Hernández, S Ilarri - Knowledge-Based Systems, 2021 - Elsevier
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

Promoting smart tourism personalised services via a combination of deep learning techniques

A Kontogianni, E Alepis, C Patsakis - Expert Systems with Applications, 2022 - Elsevier
Coronavirus has radically changed the world and our lives in many and various ways.
During this crisis, the tourism sector was severely damaged globally, as, within some weeks …

Efficient user profiling based intelligent travel recommender system for individual and group of users

R Logesh, V Subramaniyaswamy… - Mobile Networks and …, 2019 - Springer
Abstract In recent times, Recommender Systems (RSs) are gaining immense popularity with
the wider adaptation to deal information overload problem in various application domains …

Modern authentication schemes in smartphones and IoT devices: An empirical survey

MT Ahvanooey, MX Zhu, Q Li… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
User authentication remains a challenging issue, despite the existence of a large number of
proposed solutions, such as traditional text-based, graphical-based, biometrics-based, Web …

Beyond AI-powered context-aware services: the role of human–AI collaboration

N Jiang, X Liu, H Liu, ETK Lim, CW Tan… - Industrial Management & …, 2023 - emerald.com
Purpose Artificial intelligence (AI) has gained significant momentum in recent years. Among
AI-infused systems, one prominent application is context-aware systems. Although the fusion …