User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction

Guoliang Xing Guoliang Xing,Hao Gao Hao Gao, Qi Cao Qi Cao,Xinyu Yue Xinyu Yue, Bingbing Xu Bingbing Xu,Keting Cen Keting Cen, Huawei Shen Huawei Shen

Science Data Bank Datasets(2022)

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摘要
Six tables, five figures and one algorithm of this paper. Table 1 shows candidate phrases. Table 2 demonstrates performance of different types of features. Table 3 summarizes notations used in this paper. Table 4 shows the statistics of data sets. Table 5 compares scores of methods. Table 6 shows performance of models. Algorithm 1 shows semi-supervised regression algorithm. Figure 1 shows candidate phrase generation procedure. Figure 2 is the framework of a two-phase model. Figure 3 depicts the architecture of the neural network. Figure 4 shows the architecture of user growth value prediction. Figure 5 presents bagging of primary model.
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关键词
keyphrase extraction,user tagging,profiling,csdn
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