Nowadays e-commerce has spread all over the world. The e-shops are not similar to the
physical shops. The e-shops can have hundreds or thousands of items independent of …

A job seeker will spend hours searching for the most useful information while dealing with
the vast volume of recruiting information available on the Internet. In today's technologically …

Recommender Systems are used to mitigate the information overload problem in different
domains by providing personalized recommendations for particular users based on their …

Recommender systems provide an important response to the information overload problem
as it presents users more practical and personalized information services. Collaborative …

Currently, recommender systems (RS) have been widely applied in many commercial e-
commerce sites to help users deal with the information overload problem. Recommender …

Recommender Systems deal with the issue of overloading information by retrieving the most
relevant sources in the wide range of web services. They help users by predicting their …

At present, Recommender systems (RS) plays a very important role in supporting e-
commerce stores and Online Social Networks (OSN) by suggesting useful recommendations …

Due to information explosion, huge number of items are present over web which makes it
difficult for user to find appropriate item from available set of options. Recommender System …

In daily life we need many things to be searched over the internet, for search purpose there
are many search engines available. Whenever we search something we try to get the most …

Recommendation system is a specific type of information filtering technique that attempts to
present information items (such as movies, music, web sites, news) that are likely of interest …