Efficient User-Question Mapping Technique For Relevant Answer Retrieval

Abstract

SocialQ&A powers the social network possessions of common-interest and mutual-trust friend association to classify an asker through friendship that are most probable to answer the question, and improve the user security. We also recover SocialQ&A with safety and competence improvements by caring user discretion and recognizes, and saving answers routinely for regular questions. We define the construction and procedures, and showed complete large-scale imitation to assess SocialQ&A in judgment with other methods. Our consequences propose that social networks can be leveraged to recover the answer quality and asker’s waiting time. We also applied actual prototype of SocialQ&A, and examine the Q&A conduct of real users and questions from a small-scale real-world SocialQ&A scheme.