A Novel Expert Finding System for Community Question Answering

المؤلفون المشاركون

Cheng, Peng
Xiong, Fei
Cheng, Jia
Chen, Nan
Zhao, Nan

المصدر

Complexity

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-10-23

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الفلسفة

الملخص EN

With the popularity of community question answering (CQA) sites, the research on identifying the expert users in online communities attracted increasing attention.

We present a novel expert ranking algorithm based on the quality of user posts and the authority of user in community, and the similarity between the knowledge tags of users and questions in CQA sites is adopted in our scheme.

Experimental results show that our scheme has better performance and accuracy under the same background with an amount of data samples.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhao, Nan& Cheng, Jia& Chen, Nan& Xiong, Fei& Cheng, Peng. 2020. A Novel Expert Finding System for Community Question Answering. Complexity،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1142403

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhao, Nan…[et al.]. A Novel Expert Finding System for Community Question Answering. Complexity No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1142403

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhao, Nan& Cheng, Jia& Chen, Nan& Xiong, Fei& Cheng, Peng. A Novel Expert Finding System for Community Question Answering. Complexity. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1142403

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1142403