Product Rating Prediction Model by Unsupervised Social Network Trust Model

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As the online market increases day by day number of users are also increasing. So target for correct customer is basic requirement of the companies. Keeping this motive paper work for product prediction of the user based on its social network and product rating. It is obtained that combination of both information give highly accurate result. Jaccard coefficient is implement for social network features relation building. proposed work is explained in detail with the help of block diagram. Here block diagram show steps of proposed work. Same thing is again explain by the proposed work algorithm. Work has included different formula with example of its input and output. Explanation of some dataset format is also discussed as pre-processing of those is done in proposed work.

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