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Recommender system aims to provide user with guidance related to the useful services based on their personalized service recommendation, Past behaviors or neighbor’s preferences. With the popularity of social network, many users like to share their views on social media such as rating, blogs, tweets etc, which helps to recommend users interest items. Service recommender system provides an appropriate recommendation of services like shopping, gadgets, hotels, movies etc, which produces big data on the web. This results in the problem of information overload. To get over this problem, Personalized Recommendation System have been affluently used. This paper presents a survey on various challenges and methodologies in recommendation system.

Recommender System Challenges and Methodologies in Social Network: Survey