Mining History of Gamification Towards Finding Expertise in Question and Answering Communities: Experience and Practice with Stack Exchange |
| |
Authors: | Patanamon Thongtanunam Raula G. Kula Ana E. C. Cruz Norihiro Yoshida Kohei Ichikawa Hajimu Iida |
| |
Affiliation: | 1. Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, 630-0192, Nara, Japan 2. Graduate School of Information Science and Technology, Osaka University, 1-1 Yamadaoka, Suita, Osaka, 565-0871, Japan
|
| |
Abstract: | Recently, an online Q&A tool has become an essential part of individual communities and organizations of experts on specific topics. Using the answers to questions about specific topics will help such communities work more efficiently in their fields. Currently, Q&A online communities are adopting gamification to engage users by granting awards to successful users. In this paper, we investigate how to mine award achievement histories to find expertise. We propose the use of sequence analysis and clustering techniques. Specifically, we study the history of Stack Exchange, a large Q&A community that employs gamification. To the best of our knowledge, this is the first study of using award achievement history to find expertise in Q&A communities. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|