Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …

In this big data era, it is hard for the current generation to find the right data from the huge
amount of data contained within online platforms. In such a situation, there is a need for an …

In today's modern world, the data is growing exponentially and the traditional systems are
not able to fulfil the user's requirements. To fulfil the needs of the users, various companies …

In this technology-driven times, recommender systems play a crucial role in providing better
user experience and attracting as many users as possible on the website. We propose a …

The recommendation system is an intelligent system gives recommendations to users to
discover the best interesting items. The purpose of this proposed recommendation system is …

Recommender systems are used to make recommendations about products, information, or
services for users. Most existing recommender systems implicitly assume one particular type …

A general theory of resource-bounded measurability and measure is developed. Starting
from any feasible probability measure/spl nu/on the Canter space C (the set of all decision …

Survey on Recommendation System using Data Mining and Clustering Techniques Page 1
International Journal for Research in Engineering Application & Management (IJREAM) …

Online shops use recommendation systems to show users products they might like based on
their interests and actions. This makes people more interested and happier, and helps …

Introduction: Nowadays the food types became so diverse and complicated, so human
needs+ professional assistance to make his best choices especially after foods became …