[1]刘 臣,李 秋,郝宇辰.基于图卷积神经网络的在线社区行为预测[J].计算机技术与发展,2021,31(04):28-33.[doi:10. 3969 / j. issn. 1673-629X. 2021. 04. 005]
　LIU Chen,LI Qiu,HAO Yu-chen.Prediction of Collaborative Behavior of Users in Online KnowledgeCommunities Based on Graph Convolutional Neural Network[J].,2021,31(04):28-33.[doi:10. 3969 / j. issn. 1673-629X. 2021. 04. 005]
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基于图卷积神经网络的在线社区行为预测()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年04期
页码:
28-33
栏目:
大数据分析与挖掘
出版日期:
2021-04-10

文章信息/Info

Title:
Prediction of Collaborative Behavior of Users in Online KnowledgeCommunities Based on Graph Convolutional Neural Network
文章编号:
1673-629X(2021)04-0028-06
作者:
刘 臣; 李 秋; 郝宇辰
上海理工大学,上海 200093
Author(s):
LIU Chen; LI Qiu; HAO Yu-chen
University of Shanghai for Science & Technology,Shanghai 200093,China
关键词:
图卷积神经网络; 在线知识社区; 用户协作行为; 用户协作网络; 协作行为预测
Keywords:
graph convolution neural network; online knowledge community; user collaboration behavior; user collaboration network; collaborative behavior prediction
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 04. 005
摘要:
在线知识社区中,问题的回答可以看作多个回答者用户( 领域专家) 之间的协作行为。 协作行为在知识社区中通常是大规模地发生,协作行为预测对在线社交中领域专家的推荐有重要意义。 基于在线知识社区中回答者用户之间的协作行为,构建以领域专家为节点,以他们之间的协作回答关系为边的协作网络。 由于协作行为网络的构建与社交关系网络的构建上结构的相似性,可以将协作行为预测构建为协作网络中的链接预测问题。 通过构建基于图卷积神经网络的链接预测模型, 对在线知识社区中回答者用户的协作行为进行预测。 基于“ 知乎” 数据集的实验验证,与其他经典的预测方法进行比较时,发现提出的方法能够更加有效地预测在线知识社区中回答者用户之间的协作行为。
Abstract:
In an online knowledge community, the answers to questions can be viewed as collaborative behavior between multiple responder users ( domain experts) . The collab-orative behavior usually occurs on a large scale in the knowledge community. The prediction of collaborative behavior is of great significance to the recommendation? ? ? of domain experts in online social networking. Based on the collaborative behavior between the responder users in the online knowledge community, a collaborative network is built with domain experts as nodes and the collaborative answer relationship between them as edges. Due to the structural similarity between the construction of collaborative behavior network and the construction of social relationship network,the collaborative behavior prediction can be constructed as a link prediction problem in the collaborative network. By constructing a link prediction model based on graph convolutional neural network,the collaborative behavior of the responder users in the online knowledge community is predicted. Compared with other classic prediction methods on the experimental verification of the “ zhihu” data set,it is found that the proposed method can more effectively predict the collaborative behavior of the online knowledge community responder users.

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更新日期/Last Update: 2020-04-10