Recommender systems are intelligent systems which make suggestions about user items. Recommender system has become an important part of any entertainment or marketing website. As the recommender system has become so important it is a hot topic for any researcher. First paper on Recommender System was published in year 1998 since then more than 300 papers have been published in many of different...

Abstract Recommender systems are information filtering used in many online applications like music and video broadcasting e-commerce platforms. They also increasingly being applied to facilitate software engineering activities. Following this trend, we witnessing a growing research interest on recommendation approaches that assist with modelling tasks model-based development processes. In paper...

Recommender systems help customers to choose right product or service from large number of alternatives available on Internet. In recent time, trust becomes an important issue in designing effective recommender systems. In this paper we have studied the role of trust and distrust in designing recommender systems. General Terms E-Commerce, Information Retrieval, Web Mining.