Convex Optimization Algorithm for Product Recommendation Using Microblogging Information
Keywords:
Convolutional neural network, convex optimization algorithm, social media, ecommerce, cross site product recommendationAbstract
The ecommerce and the social media is connected together where the products advertisements can be given by the ecommerce website which can be viewed by the social media users that is facebook users can view the reviews given by the facebook friends or friends of friends of the users. The user may get an idea about the product features and also can be able to decide whether to buy the product or not. And also the user can give the review when the user knows about the product. In facebook database, all the reviews of the users or friends or friends of friends are stored. Among all the reviews, the overall count of the users who have given the positive comments and the negative comments are displayed .From this, the users can easily decide whether the product is useful or not. In the proposed system, convolutional neural network is used for more advanced learning.
