Integration of Jaccard Coefficient With LDA for User Product Prediction by Social Network

ABSTRACT As online networks are increasing day by day in which users can co-comment on different products such as Epinions and Flixter. So this opens new field of online product prediction for the users. This paper utilizes social and product network features for making strong prediction. Here product market value is also analyze for few year of market ratings. Experiment is done on real dataset and comparison is done on various evaluation parameters. Results shows that proposed work has high precision value of 0.25 is achieved while accuracy of 0.0714 as compared to previous approach in [1], where precision is 0.081 while accuracy is only 0.0202