COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown
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) …
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 …
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 …
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 …
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 …
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
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 …
and broad influence. Thus, social media has become a perfect place for users' malicious …
An integrated recommender system for multi-day tourist itinerary
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 …
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
With the increasing ubiquity of booking restaurants through online platforms, the need for
restaurant recommender systems that satisfy individual preferences has grown. Previous …
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 …
circumstances and desires. The recommendation system can be applied in various fields …
THOR: A hybrid recommender system for the personalized travel experience
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 …
choose the most desired travel offer (s) among a vast list of non-categorized and non …