This examine applies Bayesian community approach to analyse the relationships among buyer on-line buying behaviours and buyer necessities. This examine first proposes an initial behaviour-requirement relationship model as domain data. Through conducting a survey buyer knowledge is collected as evidences for inference of the relationships among the many elements described in the model. After making a graphical construction, this study calculates conditional likelihood distribution among these factors, and then conducts inference through the use of the Junction-tree algorithm. A set of useful findings has been obtained for customer on-line buying behaviours and their requirements with motivations. These findings have potential to help companies adopting more suitable on-line system development.
Douban is a Chinese site that serves each registered and unregistered customers. Registered users can create content and connect with others whereas the unregistered customers can search and assessment the rankings of books, music, and films. Fotolog is a photograph running … Read more