VRD: Visual Research Discovery—A Hybrid Framework Integrating Semantic Search and Interactive Visualization

The explosive growth of academic literature is creating major challenges for researchers who are trying to sort through the overwhelming number of publications available. This study proposes an easy-to-use hybrid recommendation system, to help with identifying and accessing relevant research papers....

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Vydáno v:	SN computer science Ročník 6; číslo 8; s. 958
Hlavní autoři:	Yadav, Neha, Gopinathan, Dhanalekshmi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 01.12.2025 Springer Nature B.V
Témata:	Applications programs Bibliographic coupling Bibliometrics Citation analysis Co authorship Collaboration Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Information overload Information Systems and Communication Service Interdisciplinary aspects Keywords Knowledge representation Methods Natural language processing Original Research Pattern Recognition and Graphics Recommender systems Researchers Semantic analysis Semantics Software Engineering/Programming and Operating Systems Vision Visualization BERT Semantic analysis TF-IDF and cosine similarity Knowledge graphs Recommendation system
ISSN:	2661-8907, 2662-995X, 2661-8907
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