TY - GEN
T1 - A Review Expert Recommendation Method Based on Comprehensive Evaluation in Multi-Source Data
AU - Shen, Mengmeng
AU - Zhao, Shiwei
AU - Wang, Jun
AU - Ding, Liting
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/1/14
Y1 - 2021/1/14
N2 - Expert recommendation plays an important role in academic peer evaluation activities, because their gradual evaluation will influence the final decision. In this paper, we propose a review expert recommendation (RER) method based on comprehensive evaluation in multi-source data. First, we use network extraction technology to collect network information and build expert profile. And then an expert field classification model is built in conjunction with the text similarity method. Finally, we establish a domain expert evaluation model to recommend experts based on the needs of the review work. Subsequently, an experiment is conducted using from real data, and the results show that our proposed scheme is effective.
AB - Expert recommendation plays an important role in academic peer evaluation activities, because their gradual evaluation will influence the final decision. In this paper, we propose a review expert recommendation (RER) method based on comprehensive evaluation in multi-source data. First, we use network extraction technology to collect network information and build expert profile. And then an expert field classification model is built in conjunction with the text similarity method. Finally, we establish a domain expert evaluation model to recommend experts based on the needs of the review work. Subsequently, an experiment is conducted using from real data, and the results show that our proposed scheme is effective.
KW - Data collection
KW - Expert profile construction
KW - Expertise evaluation
KW - Review expert recommendation
UR - https://www.scopus.com/pages/publications/85101828343
U2 - 10.1145/3448218.3448236
DO - 10.1145/3448218.3448236
M3 - 会议稿件
AN - SCOPUS:85101828343
T3 - ACM International Conference Proceeding Series
SP - 36
EP - 40
BT - Proceedings - 5th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2021
A2 - Zhang, Dan
PB - Association for Computing Machinery
T2 - 5th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2021
Y2 - 14 January 2021 through 16 January 2021
ER -