Consumer Trust Recommendation in Online Social Commerce
Hla Sann Sint, Khine Khine Oo · 2019
In online society, understanding the methods of trust is essential. In addition, issues of trust are necessary to several solving problems corporate responsibility, online shopping, and the social system. There are many trust value calculations have been proposed direct ratings to or propagate. However, in other web-based social networks, which is no direct rating value where users only have binary relationships. In this paper, calculate weight for comments and texts shared by the online users via text-mining method with Improved TF-IDF (Term Frequency Inverse Document Frequency) and time-weight and credit calculation with Improved PageRank algorithm. This propose technique will be of much help in any direct rating to calculate the trust correctness values in online social network (OSNs).