2026-10-12T12:00:20Z https://www.scidb.cn/oai

10.11922/sciencedb.j00104.00027 2020-10-16T13:33:56Z

2020-10-16 Identifying User Profile by Incorporating Self-Attention Mechanism Based on CSDN Data Set doi:10.11922/sciencedb.j00104.00027 en Five tables and four figures of this paper. Table 1 shows statistics of the evaluation data set. Table 2 presents a sample of CSDN data set. Table 3 is a comparison on Task 1 with different aspects. Table 4 is a comparison of different aspects on Task 2. Table 5 shows performance of UIR-SIST system in SMP CUP 2017. Figure 1 shows a system architecture. Figure 2 is a framework of CNNs model based on weighted-blog-embeddings in Task 2. Figure 3 presents a framework of the stacking model in Task 3. Figure 4 shows an example of daily statistics of user behaviors. Note: “Add” refers to “add favoriates”, and “send” refers to “send private messages”. User profile; Convolutional neural network (CNN); Self-attention; Keyword extraction Junru Lu Le Chen Kongming Meng Fengyi Wang Jun Xiang Nuo Chen Xu Han Binyang Li PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1162/dint_a_00009 Science Data Bank