The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

In today's world, population is immensely increasing day by day. This increasing population
has led to an increase in people's demand for modern fashion. From social media and …

With the rise of online shopping due to the COVID-19 pandemic, Recommender Systems
have become increasingly important in providing personalized product recommendations …

A recommender system primary purpose is to provide a series of item suggestions on a topic
to its user. Deep learning is used in many fields and solved difficult and complex problems …

Image analysis, processing, classification, and segmentation have become pivotal in style
prediction and fashion recommendation. Fashion retailers have shown an increasingly …

Most of the internet based companies are now relying on the capabilities of recommendation
models to increase their product sales. By applying efficient recommendation models …

Recommender systems are essential in online platforms and e-commerce as they help
users find personalized and relevant products. This study presents a novel two-stage …

The fashion industry, with its myriad choices, often overwhelms consumers. Addressing this,
AdaptiveCloset introduces a groundbreaking approach to tailoring clothing suggestions by …

A movie recommendation system has been implemented based on python, B/S framework
and MySQL database. Firstly, crawler technology is used to crawl the movie information of …

Recommendation systems are the techniques that are used to predict the rating one
individual will give to an item or social entity. The items can include books, movies …