Abstract: This work proposes a literature survey on Recommender systems which are applied in a variety of applications like movies, music, research articles, social tags and restaurants etc. as these systems have become extremely common in recent years. Providing the good recommendations to the customer based on their usage patterns is the major focus of every recommendation systemís study. Prior research has reported that desired property of recommendation algorithm is the stability and has important implications on userís trust and acceptance of recommendation. Two scalable , general purpose meta algorithmic approaches can be used in conjunction with different traditional recommendation algorithms to improve their stability are introduced in. Recommendations based on userís usage patterns would also be the another interesting direction in research of recommendation systemís algorithm.
Keywords: Recommender Systems, Recommendation Stability, Userís Usage Patterns