Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013
Journal
Proceedings of the 2013 KDD Cup 2013 Workshop
ISBN
9781450324953
Date Issued
2013-01-01
Author(s)
Li, Chun Liang
Su, Yu Chuan
Lin, Ting Wei
Tsai, Cheng Hao
Chang, Wei Cheng
Huang, Kuan Hao
Kuo, Tzu Ming
Lin, Shan Wei
Lin, Young San
Lu, Yu Chen
Yang, Chun Pai
Chang, Cheng Xia
Chin, Wei Sheng
Juan, Yu Chin
Tung, Hsiao Yu
Wang, Jui Pin
Wei, Cheng Kuang
Wu, Felix
Yin, Tu Chun
Yu, Tong
Zhuang, Yong
Abstract
The track 1 problem in KDD Cup 2013 is to discriminate between papers confirmed by the given authors from the other deleted papers. This paper describes the winning solution of team National Taiwan University for track 1 of KDD Cup 2013. First, we conduct the feature engineering to transform the various provided text information into 97 features. Second, we train classification and ranking models using these features. Last, we combine our individual models to boost the performance by using results on the internal validation set and the official Valid set. Some effective post-processing techniques have also been proposed. Our solution achieves 0.98259 MAP score and ranks the first place on the private leaderboard of Test set. © 2013 ACM.
Type
conference paper