Recommendation systems are gaining attention for their best performance in different areas like research, e-commerce, medical, industry, education and other related fields. The focus of this recommendation system is to suggest items that are more relevant and accurate to the search key. All these methods aim to provide accuracy in retrieving papers that are very similar to the search term. The accuracy of the results are measured based on metrics like PRECISION, RECALL, F- MEASURE, MAP, MRR. The challenges that are related to this recommendation system are also summarized in this survey.