The Software for Identifying Technological Complementarity Between Enterprises Based on Patent Databases-Reference-Cited by-同舟云学术

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The Software for Identifying Technological Complementarity Between Enterprises Based on Patent Databases

Published:2021 Issue: Volume: Page:45-54
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Bezruchenko Alexey,Korobkin Dmitriy^ORCID,Fomenkov Sergey^ORCID,Kolesnikov Sergey,Vasiliev Sergey

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87034-8_4

Reference21 articles.

1. Wang, X., Qiao, Y., Hou, Y., Zhang, S., Han, X.: Measuring technology complementarity between enterprises with an hLDA topic model. IEEE Trans. Eng. Manage. (2019). https://ieeexplore.ieee.org/document/8937531. Accessed 14 Apr 2021

2. Standard St.36 Version 1.2 Recommendation for the Processing of Patent Information Using XML (Extensible Markup Language); 23.11.2007. WIPO, 2007. 14 p. (International Standard)

3. Patent Grant Full Text Data/XML Version 4.5 ICE (2021). https://bulkdata.uspto.gov/data/patent/grant/redbook/2015/us-patent-grant-v45-2014-04-03.dtd. Accessed 17 Apr 2021

4. Mallet 2 API (2021). http://mallet.cs.umass.edu/api/. Accessed 17 Apr 2021

5. GitHub. joewandy/hlda: Gibbs Sampler for the Hierarchical Latent Dirichlet Allocation Topic Model (2021). https://github.com/joewandy/hlda. Accessed Apr 17 2021

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1. The New Method of Predicting the Importance of Patented Technologies;Communications in Computer and Information Science;2023

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