Recommended system for enhancing tag popularity in a question answering community through splaying techniques

Abstract

Collaborative filtering filters information by using the recommendations of peer participants. The long tail problem states users with higher points obtain high reputation compared to less scored users. In popular community question answering websites, like stack exchange network sites, users with unanswered or ignored questions for a long time get a tumbleweed badge without considering their past history. This deteriorates their further contribution to the website. Mostly new or low-reputation people ask tumbleweed questions. The popularity of the tags follows long tail theory. The focus of this research work is to design a recommendation system that prevents participants from tumbleweed badge with tag suggestion method to add new or nonpopular tags to existing popular tag list. The splay tree has a self-balancing skill which brings the recently accessed item to the top of the tree. In this paper, we use the splay tree concept to represent users’ reputation along with their tags.