Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …

Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with
physical environments for mobile devices. MAR systems enable users to interact with MAR …

Recommendation systems have witnessed significant advancements and have been widely
used over the past decades. However, most traditional recommendation methods are task …

This aims to propose a collaborative filtering algorithm based on embedding representation
and word embedding techniques, namely UI2vec. According to the joint feature extraction …

Deep learning (DL) techniques have been widely used in recommender systems for user
modeling and matching function learning based on historical interaction matrix. However …

Recommendation System is a major area which is very popular and useful for people to take
proper decision. It is a method that helps user to find out the information which is beneficial …

Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

The magnitude of the daily explosion of high volumes of data has led to the emergence of
the Big Data paradigm. The ever-increasing amount of information available on the Internet …

Human trajectory anomaly detection is critical for applications such as security surveillance
and public health, yet most existing methods focus on vehicle-level traffic, with limited …

The lack of bias management in Recommender Systems leads to minority groups receiving
unfair recommendations. Moreover, the trade-off between equity and precision makes it …