A Systematic Hybrid Approach in building an Effective Answer Retrieval System

Google is one of the top ranked search engine that give results for a query, asked by user in a form of list of URL’s / websites. It uses Page Rank Algorithm. Finding answers from those websites is time consuming as n pages and n websites list are displayed based on the factors it considers. The question is “Can we trust the content displayed by any website just by its number of hits/occurrences alone??? ” No. Considering this as our initial question we thought of throwing an idea on this and proposed a framework that help user to get the answer quickly and trust it without having a second thought. The paper present an algorithm of believing the website based on ‘n ’ factors. Survey in a paper details the work done by scholars. A novel approach in a paper makes people to think in different way and implement a system that gives better experience to users. What a user needs? A quick answer and a trustful result. Concentrating on these two keywords, paper framed a model that helps in relevant access of the content. It’s a novel technique of retrieval system that interacts with user to rephrase a question in better way if system is unable to get it. System needs to be trained before the query is posed. The approach combines the concept of framing the question and finding trustworthiness, this hybrid approach builds an effective and healthy move towards the development of search engines