Knowledge Map and Information Fusion Based on Personalized Recommendation Algorithm-Reference-Cited by-同舟云学术

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Knowledge Map and Information Fusion Based on Personalized Recommendation Algorithm

Published:2022 Issue: Volume: Page:632-638
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Hou Ben-Zhong,Sun Chang-Peng,Liu Tian-Tian,Su Jiang-Wen,Wu Xiao-Yan

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-4132-0_79

Reference4 articles.

1. Su, Y., Yang, S., Sun, H., et al.: Exploiting relevance feedback in knowledge graph search. In: ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM (2015)

2. Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: a core of semantic knowledge. In: International Conference on World Wide Web. OAI (2007)

3. Bollacker, K., Evans, C., Paritosh, P., et al.: Freebase: a collaboratively created graph database forstructuring human knowledge. In: SIGMOD Conference (2008)

4. Lecture Notes in Computer Science;S Auer,2007

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