Abstract Machine learning is an automization based technique that learns automatically
about something without specific programming of the task. It is used in a variety of fields. The …

The human-centered body sensor network (BSN) becomes one of the Internet of Things
(IoT) development directions in the future due to interdisciplinary advantages in the fields of …

Product reviews on the marketplace are interesting to research. Aspect-based sentiment
analysis (ABSA) can be used to find in-depth information from a review. In one review, there …

With the advancement of technology, the daily use of bank credit cards has been increasing
exponentially. Therefore, the fraudulent use of credit cards by others as one of the new …

Consumer shopping behavior is changing due to the explosive growth of e-commerce,
which brings both benefits and challenges. E-commerce enterprises must comprehend the …

Authors developed an intelligent method of forming a consumer basket based on data from
supermarket chains, which allows modifying the set of goods in the consumer basket and …

Customers who seek the services at supermarkets are subjected to inconsistencies &
ambiguities over choosing their desired products from a wide range of products with the …

The proposed paper introduces an approach providing weather information on winter
precipitation types using machine learning techniques. The proposed methodology takes as …

Competent marketers aim to accurately predict consumer desires and needs. With the
advancement of machine learning, different machine learning models could be applied to …

Product layout significantly impacts consumer demand for purchases in supermarkets.
Product shelf renovation is a crucial process that can increase supermarket efficiency. The …