Content-based recommendation technology is widely used in the field of e-commerce and
education because of its intuitive and easy to explain advantages. However, due to the …

Recommendation systems for suggesting products are crucial, particularly in streaming
services. Recommendation algorithms are crucial for hel** viewers find new movies they …

Facial expressions are biologically formed from the relative positioning or movement of
muscles that are located under the skin. According to certain debatable views, they also …

Recommendation systems are effective information filtering systems that filter relevant
information from a large amount of dynamically generated data and then provide prioritized …

The exponential increase in digital resources available online has been largely driven by
technological advances alongside growing global accessibility that allows immediate …

In this study, we pivot from the commonly used cosine similarity to the Euclidean distance as
the foundation for our film recommendation algorithm. Initially, data pertaining to users, films …

This research presents a content-based recommendation engine powered by Term
Frequency-Inverse Document Frequency (TF-IDF) vectorization to enhance personalized …

In recent years, intelligent recommendation systems using adaptive collaborative filtering
have received great attention due to their ability to provide personalized and relevant …

Plastic pollution has become a significant issue due to the surge in disposable plastic
products, which overwhelms global waste management systems. Despite effective recycling …

Systems such as Netflix, Amazon, Flipkart, etc. have a huge user base spanning the entire
globe. The products and services that these giants provide are also commensurately …