Text classification first needs to convert the text into embedding vectors. Considering that
static word embedding models such as Word2vec do not consider the position information of …

Dyslexia is the most widespread specific learning disorder and significantly impair different
cognitive domains. This, in turn, negatively affects dyslexic students during their learning …

E-commerce recommendation systems enhance the user experience by providing
customized suggestions tailored to user preferences. They analyze user interactions, such …

Recommender systems play an important role in identifying and filtering relevant products
based on the behaviours of users. Nevertheless, recommender systems suffer from the 'cold …

In the current landscape, textile companies need rapid, precise, and personalized
assistance, especially as digitalization and information, such as e-commerce and websites …

In e-commerce recommender systems, the sparsity of user-item rating data limits the quality
of semantic embedding representation of users and items, which affects the accuracy of …

The cloud service providers need to deliver cloud services based on the service level
agreement to their users. The services must be secure and privacy should be maintained for …

The emergence of Digital Twins (DT) in Industry 4.0 has enabled the decision support
systems taking advantage of more effective recommendation systems (RS). Despite the RS's …

Modeling topics in short texts presents significant challenges due to feature sparsity,
particularly when analyzing content generated by large-scale online users. This sparsity can …

The manufacturing industry has faced a significant challenge in decision-making due to the
introduction of Industry 4.0 technologies. The traditional decision-making strategies that rely …