M. Parvathy

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The recent invasion of social networks makes it inevitable to construct a trust network. Recommender systems at present uses advanced parallelism in web development. But attaining trustworthiness in such a system has been a challenging task in research work for several years. To overcome the issues in the existing work such as sparsity, scalability and to(More)
Recommender system plays a significant role in reducing the information overload on the sites where users have searched and contented. Existing approaches which deals with such recommendation system apply collaborative filtering techniques to specify the most alike users whom they hope to make recommendations. Collaborative Filtering will significantly show(More)
The rapid evolution of the internet led to a development of an effective tool for coping with information overload. Recommendation system is one of the most widely adopted and perceptible technologies for solving information overload issue. Collaborative filtering is the most popular technique used in recommender system. But it has several limitation such(More)
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