Fuzzy Based Product Prediction Using Social Features

Project Discription

As the increase of social media, number of internet user has increase in large number. Most of the young people send lots of time on internet, so this attract most of the company for there product branding. As user spend time and watch different small text, image or video advertisement. This make an image ofthat product in their mind and chance of that product selling increases. Now next step is positive publicity of the people on internet by mentioning product review is done different website. So analysis of product review and user social connect takes to research of product predict. So researchers get new field for mining that is product prediction. Web item prediction has been widely used to reduce the user confusion problem. This 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. Fuzzy interval technique is implement for social network features relation building. Results shows that proposed approach has high precision value of 0.3846 achieve for different number of users and product. 

This project predict product purchasing behavior of a user based on social feature of the user. Here product personal market value is also by latent features. In this work latent features of the product is used for fuzzy based ontology. So computer science mtech thesis dissertation project download. 

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