首页|Incorporating metapath interaction on heterogeneous information network for social recommendation

Incorporating metapath interaction on heterogeneous information network for social recommendation

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Heterogeneous information network(HIN)has recently been widely adopted to describe complex graph structure in recommendation systems,proving its effectiveness in modeling complex graph data.Although existing HIN-based recommendation studies have achieved great success by performing message propagation between connected nodes on the defined metapaths,they have the following major limitations.Existing works mainly convert heterogeneous graphs into homogeneous graphs via defining metapaths,which are not expressive enough to capture more complicated dependency relationships involved on the metapath.Besides,the heterogeneous information is more likely to be provided by item attributes while social relations between users are not adequately considered.To tackle these limitations,we propose a novel social recommendation model MPISR,which models MetaPath Interaction for Social Recommendation on heterogeneous information network.Specifically,our model first learns the initial node representation through a pretraining module,and then identifies potential social friends and item relations based on their similarity to construct a unified HIN.We then develop the two-way encoder module with similarity encoder and instance encoder to capture the similarity collaborative signals and relational dependency on different metapaths.Extensive experiments on five real datasets demonstrate the effectiveness of our method.

heterogeneous information networksocial reco-mmender systemmetapath interactionattention mechanism

Yanbin JIANG、Huifang MA、Xiaohui ZHANG、Zhixin LI、Liang CHANG

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College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China

Guangxi Key Lab of Multi-source Information Mining and Security,Guangxi Normal University,Guilin 541001,China

Guangxi Key Laboratory of Trusted Software,Guilin University of Electronic Technology,Guilin 541004,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Gansu ProvinceNorthwest Normal University Young Teachers Research Capacity Promotion PlanNorthwest Normal University Postgraduate Research Funding Project

617620786227607361966009U22A209921JR7RA114NWNU-LKQN2019-22021KYZZ02107

2024

10.1007/s11704-022-2438-1

计算机科学前沿
高等教育出版社

计算机科学前沿

CSTPCDEI
影响因子：0.303
ISSN：2095-2228
年,卷(期)：2024.18(1)
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