Ranking Results in a Web-Based Community QA System

Web forums like Stack overflow, Yahoo Answer & Quora comes under community question answering system (CQA) are gaining popularity. CQA archives of previously asked questions and their answers, this means that one can freely ask any question on web forums and expect some good, honest answers. On other side, it takes effort to go through all possible answers of a search question and to make sense of them but this process take too much time like the popular question to have 100 of answers, and it is very time-consuming for a user to inspect them all. To resolve this problem thus system mainly works on the ranking of QA pairs and online forums. These QA pairs are ranked by fine-grained and QA forwarding techniques.This technique ranks based on the rating given by the common user. This technique explicitly captures relationships between questions and their best answers by modeling topical dependencies. In some of condition unsatisfied answers on system resolved by online forum system with direct communication. In the QA system, not only a user can post questions and answers, but also it can correct spell at the time of posting question and answer, this system used fuzzy spell check API.