Recommender System: A bibliometric analysis

Abstract The exponential growth in the online share of businesses has to lead a gigantic wave options available active user. Recommender systems, therefore assist users go through tailored list products match their preferences. A range recommender systems is serve purpose. This article will navigate basic and its classifications types viz. collaborative filtering, content-based demographic, hybrid, knowledge-based system. It aims analyze publications Scopus database using biblioshiny tool RStudio software. bibliometric analysis conducted on 556 papers recent research trends recommendation systems. Further, challenges have also been discussed that need be dealt with