In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …

Electronic commerce has a strong connection with recommendation processes. There are
various forms of recommendations, ranging from virtual assistants to online suggestions …

Artificial intelligence has the potential to revolutionize disease diagnosis, classification, and
identification. However, the implementation of clinical-decision support algorithms for …

This research explored movie recommendation systems based on predicting top-rated and
suitable movies for users. This research proposed a hybrid movie recommendation system …

Aiming to solve the problem that ideological and political education courses in universities
are not targeted enough and cannot form personalized recommendations, this paper …

The biggest wish of the e-commerce industry is to forecast and estimate the taste and
repugnance of users by utilizing user ratings for various products. Chaotic users' feedback …

Twitter is a news and social networking site where people around the world post their blogs
and share their feeling, point of view, and comments regarding any communication or about …

Machine learning-driven recommendation systems are widely used in today's growing
digital world. Existing movie and book recommender systems work using a collaborative …

Recommender System is a information filtering tool to filter the relevant information from
given information in the present era of big data. Movie Recommender System is machine …

Abstract Information overload is a major problem for many internet users which occurs due
to overwhelming amounts of data made available to a user. In order to deal with this problem …