MRP2Rec: Exploring Multiple-Step Relation Path Semantics for Knowledge Graph-Based Recommendations

MRP2Rec: Exploring Multiple-Step Relation Path Semantics for Knowledge Graph-Based Recommendations

Knowledge graphs (KGs) have been proven to be effective for improving the performance of recommender systems. KGs can store rich side information and relieve the data sparsity problem. There are many linked attributes between entity pairs (e.g., items and users) in KGs, which can be called multiple-...

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Bibliographic Details
Main Authors: Ting Wang, Daqian Shi, Zhaodan Wang, Shuai Xu, Hao Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Recommender systems
knowledge graph
semantic representation
Online Access:https://ieeexplore.ieee.org/document/9146117/

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