Jun 30, 2017 · To address this issue, we present a fine-grained method for co-authorship modeling that incorporates the co-author network structure and the ...

To address this issue, we present a finegrained method for co-authorship modeling that incorporates the co-author network structure and the topics of their ...

A fine-grained method for co-authorship modeling that incorporates the co-author network structure and the topics of their published articles is presented ...

The use of co-authorship provides effective information to personalized citation recommendation. Co-authorships provide useful and interesting information ...

Exploiting fine-grained co-authorship for personalized citation recommendation. L Guo, X Cai, F Hao, D Mu, C Fang, L Yang. IEEE Access 5, 12714-12725, 2017. 54 ...

This paper proposes a citation recommenda- tion method that considers and utilizes citation contexts in scholarly papers. Citation contexts.

Exploiting Fine-Grained Co-Authorship for Personalized Citation Recommendation. Article. Full-text available. Jun 2017. Lantian Guo ...

Jun 1, 2023 · This article provides a systematic review on global citation recommendation models and compares the reviewed methods from the traditional topic- ...

This paper considers the citation recommendation as a content based analysis combined with personalization, using users' publication or citation history as ...

Another graph-based model integrating fine-grained co-authorship as well as author–paper, paper–citation, and paper–keyword relations is designed by Guo et al.