A Method for Recommending Resources Across Virtual Academic Communities Based on Knowledge Graph and Prompt Learning

Author:

Chen Zhihao,Yin Jun,Ge Shilun,Wang Nianxin

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Xiaoli, W., Jing, Z., Shuqin, C.: The evolution and its internal knowledge flow in virtual academic community knowledge ecosystem. Inf. Stud.: Theory Appl. 45(12), 156–163 (2022). (in Chinese)

2. Social, W.A., DataReportal, and Hootsuite: Number of internet and social media users worldwide as of July 2022 (in billions) (2022). https://www.statista.com/statistics/617136/digital-population-worldwide/

3. Chen, C.C., Shih, S.-Y., Lee, M.: Who should you follow? Combining learning to rank with social influence for informative friend recommendation. Decis. Support Syst. 90, 33–45 (2016)

4. Xing, T., et al.: Automatic summarization of user-generated content in academic Q&A community based on Word2Vec and MMR. Data Anal. Knowl. Discov. 4(04), 109–118 (2020). (in Chinese)

5. Lianfeng, Z., Hui, L., Yunhe, T.: Knowledge aggregation model based on virtual academic community. Inf. Sci. 37(06), 55–60+74 (2019). (in Chinese)

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