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 …

Recommendation System (RS) is a piece of software that gives suggestions according to the
interest of users in many domains like products in e-commerce, tours, hotels, entertainment …

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 …

This study explores whether information on internet stock bulletin board systems (BBS) is
valuable for stock return prediction, taking advantage of data derived from the biggest stock …

The last two decades have seen a surge of data on the Web which causes overwhelming
users with huge amount of information. Recommender systems (RSs) help users to …

A traditional way for movie recommendation in a real scenario is by word of mouth. People
ask their friends or relatives their opinion about a movie and then make their own judgment …

The effective item recommendations in the online business websites are largely based on
the efficient study of product reviews. This paper describes the data science approach to …

Rapid data expansion brought on by the emergence of the Web and e-commerce websites
has led to the issue of information overload. Recommendation systems (RSs) have played a …

This article explores the fusion of collaborative filtering (CF) techniques with opinion mining
methodologies to enhance movie recommendation systems. The proposed approach …

Les données essentielles, à savoir les aspects des produits et les opinions, sont extraites
des commentaires en ligne. Les avis obtenus sont ensuite analysés pour les orientations …