COLD-START PRODUCT RECOMMENDATION THROUGH SOCIAL NETWORKING SITES USING WEB SERVICE INFORMATION

ABSTRACT Nowadays many e-commerce websites support the mechanism of the social login mechanism with their social network identities. Providing the cold start product recommendation with the knowledge extracted from the social networking sites becomes a major challenge. To overcome this challenge the linked users across social networking sites and e-commerce websites are used as a bridge to map users social networking features to the latent features for the product recommendation. Here the demographic attributes of the user are considered to provide the recommendations to the user. The user provides the interests at the time of registering to the social site. Based on the interests the products are recommended to the users.