10.35940/ijeat.B2005.1210220
https://zenodo.org/records/5526277
oai:zenodo.org:5526277
Jayashree R
Jayashree R
Department of Computer Applications, School of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur campus, Chennai, India.
Recommended System for Enhancing Tag Popularity in a Question Answering Community through Splay-net Techniques
Zenodo
2020
Collaborative filtering; classification; Learning; Ranking system; splay Tree Data Structure.
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
Publisher
2020-12-30
eng
2249-8958
Creative Commons Attribution 4.0 International
Collaborative filtering filters information by using the recommendations of peer participants. The long tail problem states users with higher points obtain a 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 the tumbleweed questions. The popularity of the tags follows a 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 non-popular tags to the existing popular tag list. The splay-net has a self-balancing graph which brings the recently accessed item to the top of the tree. In this paper, we use the splay-net technique to represent users’ reputation along with their tags.