http://www.jestr.org/downloads/Volume10Issue4/fulltext171042017.pdf
Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali · Journal of Engineering Science and Technology Review · 2017
This paper presents the state of art techniques in recommender systems (RS).The various techniques are diagrammatically illustrated which on one hand helps a naïve researcher in this field to accommodate the on-going researches and establish a strong base, on the other hand it focuses on different categories of the recommender systems with deep technical discussions.The review studies on RS are highlighted which helps in understanding the previous review works and their directions.8 different main categories of recommender techniques and 19 sub categories have been identified and stated.Further, soft computing approach for recommendation is emphasized which have not been well studied earlier.The major problems of the existing area is reviewed and presented from different perspectives.However, solutions to these issues are rarely discussed in the previous works, in this study future direction for possible solutions are also addressed.