BMCR: A collaborator recommendation model based on Scholars’ academic level-Reference-Cited by-同舟云学术

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BMCR: A collaborator recommendation model based on Scholars’ academic level

Published:2022-11 Issue:10 Volume:34 Page:9409-9418
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Qin Hongwu,Zhao Meng,Ma Xiuqin,Sun HuanLing,Wei Weiyi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Gansu Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

General Computer Science

Reference40 articles.

1. K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm[J];Chen;Knowl.-Based Syst.,2021

2. Big scholarly data: a survey[J];Feng;IEEE Trans. Big Data,2017

3. Link prediction method based on the similarity of high path;Gu;J. Commun.,2021

4. Context-aware location recommendation by using a random walk-based approach[J];Hakan;Knowl. Inf. Syst.,2016

5. Haris, M., Stocker, M., Auer, S. 2022. Enriching Scholarly Knowledge with Context[J]. arXiv preprint arXiv:2203.14617.

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