Machine learning predictive models are increasingly used to analyse social media data.
However, they often fall short in transparency and interpretability. This paper shows how …

In Malaysia, meal delivery systems have proliferated after the COVID-19 outbreak. There is a
growing trend among consumers to transition from purchasing food in-store at restaurants to …

The increasing popularity of online fashion and online retail platforms is having a visible
impact on the shop** experience of billions of customers, making millions of products …

A session-based recommendation system (SRS) tries to predict the next possible choice of
anonymous users. In recent years, graph neural network (GNN) models have been …

Over the past decade, social networks and messengers have found a special place in the
creation and development of businesses. User recommendation is a very important feature …

The object of the research is the process of selecting a content recommendation method in
information services. The study's relevance stems from the rapid development of …

Telegram is a cloud-based instant messenger with more than 500 million monthly active
users. This messenger is very popular among Iranians, as more than 50 million Telegram …

Live streaming is a type of medium that integrates video, text chat, and even more modalities
to support real-time communication. It has become increasingly popular and accessible in …

Academic paper recommendation aims to provide users with personalized paper resources.
Collaborative filtering methods face the problems of highly sparse data and lack of negative …

The research paper is based on analyzing the influence of Instagram filters on the users in
overcoming the dissatisfaction of their body image in the social media. The research has …