Data · dataset · 2020
Identifying User Profile by Incorporating Self-Attention Mechanism Based on CSDN Data Set
Listed in ScienceDB
Five tables and four figures of this paper.
Description
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.
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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”.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.j00104.00027 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Bioinformatics and computational biology 68% · Tabular 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.j00104.00027 | 9 d ago | JSON v1 |
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| concepts[field].anzsrc:group:3102 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
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| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |