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 …

Recently, the building of recommender systems becomes a significant research area that
attractive several scientists and researchers across the world. The recommender systems …

Over the last decade, there has been a burgeoning of data due to social media, e-commerce
and overall digitisation of enterprises. The data is exploited to make informed choices …

One of the most commonly used techniques in the recommendation framework is
collaborative filtering (CF). It performs better with sufficient records of user rating but is not …

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 …

Movie recommendation systems are important tools that suggest films with respect to users'
choices through item-based collaborative filter algorithms, and have shown positive effect on …

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 …

Recommender systems have been utilized in several e-commerce applications. There are
three types of recommender systems: content based filtering, collaborative filtering, and …

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 …

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 …