Recommendation method for academic journal submission based on doc2vec and XGBoost
Bibliographic Data
| ID | 21443250 |
|---|---|
| Authors | Zhengwei Huang (0000-0002-6844-9803, China Three Gorges University), Huang ZhengWei, Min JinTao (China Three Gorges University), Yanni Yang (0000-0002-3878-9989, China Three Gorges University, corresponding author), Jin Huang (0000-0002-2833-8041, China Three Gorges University), Huang Jin, Ye Tian (0000-0003-0545-942X, China Three Gorges University), Tian Ye (0000-0001-5061-7998) |
| Year | 2022 |
| Volume | 127 |
| Issue | 5 |
| Pages | 2381-2394 |
| Publication date | 2022-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-022-04354-1 |
| OpenAlex | W4221041853 |
| Language | EN |
| Citations received | 1 |
| References cited | 20 |
Data science · Field (mathematics) · Information retrieval · Matching (statistics) · Representation (politics) · Semantics (computer science) · Computer Science · Recommender Systems and Techniques · Sentiment Analysis and Opinion Mining · Topic Modeling
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |