A patent recommendation method based on KG representation learning-Reference-Cited by-同舟云学术

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A patent recommendation method based on KG representation learning

Published:2023-11 Issue: Volume:126 Page:106722
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Xiao Yan,Li Congdong,Thürer Matthias

Funder

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference53 articles.

1. Bellomarini, L., Fakhoury, D., Gottlob, G., Sallinger, E., Ieee, 2019. KGs and Enterprise AI: The Promise of an Enabling Technology. In: IEEE 35th International Conference on Data Engineering. ICDE, Macau, PEOPLES R CHINA, pp. 26–37.

2. A semantic matching energy function for learning with multi-relational data Application to word-sense disambiguation;Bordes;Mach. Learn.,2014

3. Translating embeddings for modeling multi-relational data;Bordes,2013

4. advligorts: The Advanced LIGO real-time digital control and data acquisition system;Bork;Softwarex,2021

5. Cao, Y.X., Wang, X., He, X.N., Hu, Z.K., Chua, T.S., Assoc Comp, M., 2019. Unifying KG Learning and Recommendation: Towards a Better Understanding of User Preferences. In: World Wide Web Conference. WWW, San Francisco, CA, pp. 151–161.

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