A two-stage deep learning-based system for patent citation recommendation
Bibliographic Data
| ID | 21443282 |
|---|---|
| Authors | Jaewoong Choi (0000-0002-2640-5933, Konkuk University), Jiho Lee (0000-0001-8027-835X, Konkuk University), Janghyeok Yoon (0000-0002-8701-0695, Konkuk University), Sion Jang (0009-0001-6577-2226), Jaeyoung Kim (0000-0001-6983-7907), Sungchul Choi (0000-0002-5836-3838, Pukyong National University, corresponding author) |
| Year | 2022 |
| Volume | 127 |
| Issue | 11 |
| Pages | 6615-6636 |
| Publication date | 2022-11-01 |
| 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/s11192-022-04301-0 |
| OpenAlex | W4220917914 |
| Language | EN |
| Citations received | 8 |
| References cited | 39 |
Benchmark (surveying) · Benchmarking · Citation · Context (archaeology) · Data science · Exploit · Information retrieval · Machine learning · Ranking (information retrieval) · Similarity (geometry) · World Wide Web · Artificial Intelligence · Computer Science · Intellectual Property and Patents · Machine Learning in Materials Science
Measuring security development in information technologies
Knowledge graph enhanced citation recommendation model for patent examiners
Self-supervised scientific document recommendation based on contrastive learning
Enhancing patent recommendations for product innovation
Sequential patent recommendation for alliance firms
A deep learning-based model for patent portfolio recommendation leveraging overall and sequential features
A novel patentability detection model based on Siamese network
Mikta maritime research gaps
Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations
A context-aware citation recommendation model with Bert and graph convolutional networks
Research on classification and similarity of patent citation based on deep learning
Patent document clustering with deep embeddings
A deep learning based method for extracting semantic information from patent documents
An intelligent patent recommender adopting machine learning approach for natural language processing
Early detection of valuable patents using a deep learning model
Referencing as Persuasion
| Citations per year | 2.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |