The variety of enormous information on the web encourages the field of recommender
systems (RS) to flourish. In recent times, deep learning techniques have significantly …

In this study, we aim to investigate the influence of the time spent reading product
information on consumer behavior in e-commerce. Given the rapid growth of e-commerce …

Vector quantization, renowned for its unparalleled feature compression capabilities, has
been a prominent topic in signal processing and machine learning research for several …

Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO),
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …

An automated book recommendation system has becoming a necessary role in increasing
the efficacy and user experience of college library. The number of books in the library is very …

The deep neural network (DNN)-based recommender system (RS) has drawn much
attention recently and provided state-of-the-art results. Although many DNN-based RSs …

In light of the global proliferation of the COVID-19 pandemic, there is a notable surge in
public interest towards Massive Open Online Courses (MOOCs) recently. Within the realm of …

The cyber-physical system is a security-embedded intelligent system that integrates and
organizes physical resources to offer effective and comfortable services for humans. Web …

Data streams, as an important pattern of big data, require online real-time processing
because instances arrive one by one and are fleeting. Existing online learning methods …

The generalization performance of self-training methods for semi-supervised classification
depends on the selection of pseudo-labeled samples. While multiple variations of self …