Smart Recommendation for Unanimous People

Abstract

Creativity has become one of the optimal technologies to solve human life problems, and technology isused for facilitating human needs. People always seek and be more comfortable based on a similar mindset. Which in return helps them to build new ideas and thoughts. With the popularity of social networks and social media, many users like to share their reviews, ratings, experiences, and images. The factors that are most considered by social media platforms, like influence, search content and interest based on friends, bring connectivity for smart recommendation systems to establish the relation between the users with the help of the data collected from the users. Social factors like interpersonal interest similarity, interpersonal influence, and personal interest these factors are taken into consideration before recommending friends to users. This smart recommendation model, which we have used, is based on Latent Dirichlet Allocation (LDA) algorithm. The category of personal interest will help the users to club together and can recommend people to the user based on individualities. The interpersonal influence helps users to connect based on theirinterest towards learning and innovation; they can connect and discuss regarding their common interests.