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Collaborative Filtering with Network Representation Learning for Citation Recommendation
Wei Wang1,2; Tao Tang3,5; Feng Xia4; Zhiguo Gong4; Zhikui Chen3,5; Huan Liu6
2020-10-30
Source PublicationIEEE Transactions on Big Data
ISSN2332-7790
Abstract

Citation recommendation is important in the environment of scholarly big data, where finding relevant papers has become more difficult because of information overload. Applying traditional collaborative filtering (CF) to citation recommendation is rather challenging due to the cold start problem and the lack of paper ratings. To address these two challenges, in this paper, we propose a Collaborative filtering with Network representation learning framework for Citation Recommendation dubbed as CNCRec, which is a hybrid user-based CF considering both paper content and network topology. It aims at recommending citations in heterogeneous academic information networks. CNCRec creates the paper rating matrix based on attributed citation network representation learning, where the attributes are topics extracted from the paper text information. Meanwhile, the learned representations of attributed collaboration network is utilized to improve the selection of nearest neighbors. By harnessing the power of network representation learning, CNCRec is able to make full use of the whole citation network topology compared with previous context-aware network-based models. Extensive experiments on both DBLP and APS datasets show that the proposed method outperforms state-of-the-art methods in terms of precision, recall, and Mean Reciprocal Rank. Moreover, CNCRec can better solve the data sparsity problem compared with other CF-based baselines.

KeywordCitation Recommendation Collaborative Filtering Network Representation Learning Scholarly Big Data
DOI10.1109/TBDATA.2020.3034976
URLView the original
Scopus ID2-s2.0-85096085214
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Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau
2.State Key Laboratory of Internet of Things for Smart City, Faculty of Science and Technology, University of Macau, China.
3.Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116620, China.
4.School of Engineering, IT and Physical Sciences, Federation University Australia, Ballarat, VIC 3353, Australia
5.School of Software, Dalian University of Technology, Dalian, Liaoning China
6.School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85281 USA.
First Author AffilicationUniversity of Macau;  Faculty of Science and Technology
Recommended Citation
GB/T 7714
Wei Wang,Tao Tang,Feng Xia,et al. Collaborative Filtering with Network Representation Learning for Citation Recommendation[J]. IEEE Transactions on Big Data,2020.
APA Wei Wang,Tao Tang,Feng Xia,Zhiguo Gong,Zhikui Chen,&Huan Liu.(2020).Collaborative Filtering with Network Representation Learning for Citation Recommendation.IEEE Transactions on Big Data.
MLA Wei Wang,et al."Collaborative Filtering with Network Representation Learning for Citation Recommendation".IEEE Transactions on Big Data (2020).
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