Various permutations and combinations has studied on recommender systems and their contribution to e-commerce. Consumers are now becoming more aptly aware and prevalent. With the transition to online shopping, manufacturers and retailers must now tailor to consumers' needs while still offering more choices than before. There are different categories of recommender schemes used in E-Commerce: Association rules, Collaborative filtering, Content-based filtering, Hybrid Recommender Systems etc. The main contribution of this work lies in the study and review of recent research papers on different criteria, including Role of Recommender System in e-commerce, Social Network Impact on recommender system and Machine Learning models in recommendation. After performing the review, we proposed a hypothetical model synonymous with the conclusion in this present investigation.

Recommender Engine, E-Commerce, Product Recommender, Recommendation algorithm