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

In this era of big data, the amount of video content has dramatically increased with an
exponential broadening of video streaming services. Hence, it has become very strenuous …

The movie is one of the integral components of our everyday entertainment. The worldwide
movie industry is one of the most growing and significant industries and seizing the attention …

Recommendation systems have become prevalent in recent years as they dealing with the
information overload problem by suggesting users the most relevant products from a …

Over the past decade, recommendation systems have been one of the most sought after by
various researchers. Basket analysis of online systems' customers and recommending …

Movie recommendation in mobile environment is critically important for mobile users. It
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …

Recommender systems are information filtering tools that aspire to predict the rating for
users and items, predominantly from big data to recommend their likes. Movie …

Recommender systems are information retrieval tool that allocates accurate
recommendations to the specific users. Collaborative movie recommender systems support …

Nowadays, the recommendation system has made finding the things easy that we need.
Movie recommendation systems aim at helping movie enthusiasts by suggesting what movie …

With the advent of many movie content platforms, users face a flood of content and
consequent difficulties in selecting appropriate movie titles. Although much research has …