In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shopping due to the …

Our research presents “RoBERTaRecIOT,” an innovative model that stands out for its
superiority. It utilizes the pre-trained Robustly Optimized Bidirectional Encoder …

As location-based social media has rapidly grown, trip recommendations have become
increasingly important. Many recommender systems do not consider the valuable …

In this modern streaming platform, the movie recommendation system is an important tool for
enabling the users to find new content specialized to their interests. To address the cold start …

Online Social Networks (OSNs) face escalating security threats that imperil user privacy.
Conventional Deep Learning methods, relying predominantly on fixed learning rates …

Sentiment Analysis (SA) is a domain or context-oriented task since the sentiment words
convey different sentiments in various domains. As a result, the domain-independent …

With the rapid expansion of location-based social networks, the significance of
recommendations for tours and activities has grown significantly. However, many …

Currently, the volume of geo-referenced data is rapidly expanding, and users frequently
show interest in nearby items. Consequently, Location-Aware Recommender Systems …

The recommendation of candidate genes plays a crucial role in genetic research and
medicine, given the vast and complex nature of the human genome, which harbors a …

This research aims to analyze decision-making factors influencing personnel in
recommending Thai performing arts sets to support the development of an intelligent …