Open AccessA Recommendation System: Trends And Future
Author(s) -
Shefali Gupta,
Meenu Dave
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1240.0986s319
Subject(s) - recommender system , strengths and weaknesses , key (lock) , computer science , data science , world wide web , computer security , philosophy , epistemology
Recommendation system plays a key role in ecommerce universe and is used in many applications, websites and more. It has led to synergies between applications, created global village and growth of information. This paper represents the overview of approaches and techniques generated in recommendation systems. Recommendation system is categorized in two classes: Personalized and Non-personalized, which is further divided into various approaches and techniques. This paper discusses each of the methodology in detail highlighting their strengths and weaknesses.