Recommendation systems (RS) play a crucial role in enhancing conversion rates in e-
commerce by offering personalized product recommendations based on customer …

Recommendation systems (RSs) are widely used in e-commerce to improve conversion
rates by aligning product offerings with customer preferences and interests. While traditional …

ABSTRACT NLP refers to the computer-based study of language when referring to textual
data such as texts or reviews. Natural language processing frequently seeks to give …

Nowadays, people are constantly moving towards various fashion products as a result the e-
commerce market for garments is growing rapidly. Online stores must update their features …

Rapid-tidily when we are talking about sentimental analysis, one only thought about that the
terminology concerned only with the opinion or emotions of human. But they never thought …

There is a significant growth of systems that provide a huge amount of data over social
relationships. Technological advances nowadays allow social-based technology to grow …

Recommender systems must be enhanced as Internet data grows to produce a list of
suitable favorites. Given the exponential growth of Internet data, it is imperative to develop …

Some trends in modern recommender systems Page 1 MEMSTECH 2017, 20-23 April, 2017,
Polyana-Svalyava (Zakarpattya), UKRAINE 167 Some Trends in Modern Recommender …

Recommender systems (RSs) are key machine learning (ML) applications that delve into
user-generated data and behaviors to curate personalized lists of items suited to individual …

Social media sites are used today for the development of different types and nature of
customers those use such benefits which are often shared by people on social media …