Li, Chun LiangChun LiangLiSu, Yu ChuanYu ChuanSuLin, Ting WeiTing WeiLinTsai, Cheng HaoCheng HaoTsaiChang, Wei ChengWei ChengChangHuang, Kuan HaoKuan HaoHuangKuo, Tzu MingTzu MingKuoLin, Shan WeiShan WeiLinLin, Young SanYoung SanLinLu, Yu ChenYu ChenLuYang, Chun PaiChun PaiYangChang, Cheng XiaCheng XiaChangChin, Wei ShengWei ShengChinJuan, Yu ChinYu ChinJuanTung, Hsiao YuHsiao YuTungWang, Jui PinJui PinWangWei, Cheng KuangCheng KuangWeiWu, FelixFelixWuYin, Tu ChunTu ChunYinYu, TongTongYuZhuang, YongYongZhuangSHOU-DE LINHSUAN-TIEN LINCHIH-JEN LIN2023-08-012023-08-012013-01-019781450324953https://scholars.lib.ntu.edu.tw/handle/123456789/634399The 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.conference paper10.1145/2517288.25172902-s2.0-85146715632https://api.elsevier.com/content/abstract/scopus_id/85146715632