Construction of Standard Essential Patent Value Classification Recognition System Under the Background of Infringement Litigation

Qining Peng; Bingxiang Liu; Zhenkang Fu; Wenyu Bei

doi:10.13266/j.issn.2095-5472.2023.037

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Knowledge Management Forum ›› 2023, Vol. 8 ›› Issue (6) : 461-475. DOI: 10.13266/j.issn.2095-5472.2023.037

Construction of Standard Essential Patent Value Classification Recognition System Under the Background of Infringement Litigation

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Abstract

[Purpose/Significance] Based on machine learning algorithm, an automatic classification and screening model based on multi-modal feature fusion is constructed for industry standard patents. The research also explores a classification indicator system for the value of standard-essential patents in the context of infringement litigation. [Method/Process] First, standard necessary patents after infringement litigation in USPTO are used as marker data. Then, the text data and indicator data are integrated with dimensionality reduction, and the patent classification and screening model based on supervised and semi-supervised learning machine model is established. Finally, the standard patents of digital creative industry are classified and screened. [Result/Conclusion] The average F1 value of the four models constructed in this paper is above 0.8 on the test set, among which the pseudo-labeled random forest model has the best performance and the average F1 value reaches 0.871 06.

Key words

patent infringement litigation / standard patent / machine learning / natural language processing / classification screening

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Qining Peng , Bingxiang Liu , Zhenkang Fu , et al. Construction of Standard Essential Patent Value Classification Recognition System Under the Background of Infringement Litigation[J]. Knowledge Management Forum. 2023, 8(6): 461-475 https://doi.org/10.13266/j.issn.2095-5472.2023.037

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