Identifying User Profile by Incorporating Self-Attention Mechanism Based on CSDN Data Set
收藏科学数据银行2020-10-16 更新2026-04-23 收录
下载链接:
https://www.scidb.cn/en/detail?dataSetId=766644708024778752
下载链接
链接失效反馈官方服务:
资源简介:
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”.
提供机构:
University of International Relations; Kongming Meng; Junru Lu; Capital Normal University; Fengyi Wang; Binyang Li
创建时间:
2020-10-16



