An efficient framework for blog recommender system

Abstract

Placing Questions and getting answers from various answering sites is very helpful aspect in computer science field. The answering sites retrieves the information using natural processing in some answering sites. The advantage of using Natural language processing is the answers for the posted questions has been answered automatically. Where else Quora is also a platform which were related to the above-mentioned process but for the questions the answers didn’t get posted automatically, it has to perform manually. Quora is a platform where people share and gain knowledge by posting questions and getting answers and many people get connected by using this platform and getting their doubts clarified. By using these type of platforms people can increase their knowledge by peer sharing. In order to build a high-quality knowledge base, it's important that we ensure each unique question exists on Quora only once. Writers shouldn't have to write the same answer to multiple versions of the same question, and readers should be able to find a single canonical page with the question they're looking for. For example, consider the questions like “What are the ways to learn programming”, “explain different methods to learn programming”, and “What are key aspects to follow while learning the programming” This type of questions seems to be duplicate questions because the intent in all the question are same. To prevent duplicate questions from existing on Quora, we've developed class label prediction and natural language processing systems to automatically identify when questions with the same intent have been asked multiple times.