COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown

H Liu, W Liu, V Yoganathan, VS Osburg - Technological forecasting and …, 2021 - Elsevier
While previous research highlights the benefits of social media in times of a pandemic, this
research focuses on the potential dark side of social media use among Generation Z (Gen Z) …

Improvising personalized travel recommendation system with recency effects

P Nitu, J Coelho, P Madiraju - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
A travel recommendation system based on social media activity provides a customized
place of interest to accommodate user-specific needs and preferences. In general, the user's …

Using ai–ml to augment the capabilities of social media for telehealth and remote patient monitoring

R Leung - Healthcare, 2023 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) have revolutionized the way health
organizations approach social media. The sheer volume of data generated through social …

[PDF][PDF] Deep Learning Enabled Social Media Recommendation Based on User Comments.

K Saraswathi, V Mohanraj, Y Suresh… - … Systems Science & …, 2023 - cdn.techscience.cn
Nowadays, review systems have been developed with social media Recommendation
systems (RS). Although research on RS social media is increasing year by year, the …

An Optimal Round‐Trip Route Planning Method for Tourism Based on Improved Genetic Algorithm

S Cao - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
The optimization of the travel route for a round‐trip is not only a customized demand made
by a large number of independently guided tourists but also an essential practical issue for …

Graphbert: Bridging graph and text for malicious behavior detection on social media

J Wu, C Zhang, Z Liu, E Zhang… - … Conference on Data …, 2022 - ieeexplore.ieee.org
The development of social media (eg, Twitter) allows users to make speeches with low cost
and broad influence. Thus, social media has become a perfect place for users' malicious …

An integrated recommender system for multi-day tourist itinerary

F Ghobadi, A Divsalar, H Jandaghi, RB Nozari - Applied Soft Computing, 2023 - Elsevier
Planning a personalized itinerary that satisfies the preferences and limitations of a tourist
can be a complex task. The challenge is further compounded by the lack of information …

Deep learning mechanism and big data in hospitality and tourism: Developing personalized restaurant recommendation model to customer decision-making

S Yang, Q Li, D Jang, J Kim - International Journal of Hospitality …, 2024 - Elsevier
With the increasing ubiquity of booking restaurants through online platforms, the need for
restaurant recommender systems that satisfy individual preferences has grown. Previous …

Designing a tourism recommendation system using a hybrid method (Collaborative Filtering and Content-Based Filtering)

NWPY Praditya, AE Permanasari… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
A recommendation system is an application model based on observations of the customer's
circumstances and desires. The recommendation system can be applied in various fields …

THOR: A hybrid recommender system for the personalized travel experience

A Javadian Sabet, M Shekari, C Guan, M Rossi… - Big Data and Cognitive …, 2022 - mdpi.com
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 …