Generative Models for Item Adoptions

04-December-2018

 

As digital world include different facility for the ease of human life, one of its boon is internet. This internet has reduced hundred of works, in terms of managing things, providing information, etc. So number of internet users are increasing day by day, many of different kind of services are developed through which people maintain their social relation buy products, sell old products, etc. Utilization of this traffic is done by researcher by analyzing user reviews and comments for product purchase prediction.

 

In this work product is predict, with the use of different relation such as user product relation user user relation. Base on these relation a new combination of features is use for the prediction of product that will be purchase by user. So fig. 2 represent the steps of proposed work  User Datset: In this dataset user user feature relation is present. This can be understand as user U1 has some relation with U2 in terms of {Like, comment, share image, shar video, message, share comment, friend request, same group, common friends, video chat, text chat, etc.}, then number of time these activity done by the user is count in the dataset for U2 by U1 is store.