Currently, the Internet contains a large amount of information, which must then be filtered to
determine suitability for certain users. Recommender systems are a very suitable tool for this …

Nowadays, various recommender systems are popular and their main aim is to recommend
suitable content to the user based on various parameters. This article proposes a hybrid …

In today's digital world, it has become an irksome task to find the content of one's liking in an
endless variety of content that are being consumed like books, videos, articles, movies, etc …

In today's society, time is considered more valuable than money, and researchers often have
limited time to find relevant papers for their research. Identifying and accessing essential …

Recommender systems employ recommendation algorithms to predict users' preferences to
items. These preferences are often represented as numerical ratings. However, existing …

As the business needs are accelerating, there is an increased dependence on extracting
meaningful information from humongous amount of raw data to drive business solutions …

In many developed cities around the world, vehicle sharing is becoming an increasingly
popular form of green transportation. While such services are associated with lower …

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

The task of recommending products to customers based on their interests is important in
business. It is possible to accomplish this with machine learning. To reduce human effort by …

Recommender system, an information filtering technology used in many items is presented
in web sites as per the interest of users, and is implemented in applications like movies …