2026-10-14T15:23:58Z https://www.scidb.cn/oai

10.57760/sciencedb.j00133.00592 2026-06-29T08:53:28Z

2026-06-29 Dataset for Research on the Method of Predicting Technical Application Scenarios Based on BERTopic and Recommendation Algorithms doi:10.57760/sciencedb.j00133.00592 en This dataset supports the paper “Research on the Method of Predicting Technical Application Scenarios Based on BERTopic and Recommendation Algorithms.”The paper uses patent data and employs a prediction framework composed of BERTopic-based technical topic extraction, patent knowledge graph construction, and a knowledge-graph-enhanced recommendation module to quantitatively evaluate the potential applications of technologies.The dataset mainly includes:1）Raw data collected from the Derwent patent database, such as patent titles, abstracts, and bibliographic information;2）Results of BERTopic topic analysis;3）Data of the constructed patent knowledge graph;4）Training and test sets built from the co-occurrence relationships between technologies and application scenarios;5）Experimental results and related visualization charts. Technology application potential assessment; Recommendation algorithm; Knowledge graph; Technology forecasting; Information and communication technology zhang xu yi PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank