Data Analytics using Hadoop for effective Recommendation in E-commerce based onSocial Network Knowledge

Computer Engineering

Nowadays Internet has become the basic source of information. variety of different approaches and algorithms of data filtering and recommendation are available. In traditional recommender system user can not get satisfactory result because many problems occurs during the process for instance changing in user preference problem and cold start problem. So, for making recommender system strong the developers uses different criteria like, extracting user data from social networking sites. Here, we are trying to describe the recommendation system in e-commerce using social network knowledge base and then introduces various techniques and approaches used by the recommender system like, User-based approach, Item based approach, Hybrid recommendation approaches and also shown related research work in the recommender system. In the end we will show the Idea about my proposed system.

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