Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …

Recommender system is used to suggest product or topic based on user's interest. Existing
recommender system have focused on books, product, music etc. The problem in existing …

Recommender systems use different techniques of machine learning (ML) to suggest users
and recommend service or entity in various field of application such as in health care …

Mobile tourism or m-tourism can assist and help tourists anywhere and anytime face the
overload of information that may appear in their smartphones. Indeed, these mobile users …

Purpose Because of the extensive user coverage of news sites and apps, greater social and
commercial value can be realized if users can access their favourite news as easily as …

The online system is rapidly developing and widely used for companies to market their
products. The products can always be more diverse and abundant. However, it creates …

In daily life user searched the many things over the internet on the basis of requirement with
the help of search engines. Recommendation systems are widely used on the internet to …

Various techniques have been used over the years to implement recommendation systems.
In this research, we have analyzed several papers and majority of them have used …

Recommender System is a software tool that considers multiple parameters like the interest
of a user, historical user data, browsing behavior, etc. to provide suitable recommendations …

Context-aware recommender system (CARS) is a promising technique for recommending
research resources to users (researchers) by predicting their preferences (resources) under …