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MNI: An enhanced multi-task neighborhood interaction model for recommendation on knowledge graph
2021
PLoS ONE
To alleviate the data sparsity and cold start problems for collaborative filtering in recommendation systems, side information is usually leveraged by researchers to improve the recommendation performance. The utility of knowledge graph regards the side information as part of the graph structure and gives an explanation for recommendation results. In this paper, we propose an enhanced multi-task neighborhood interaction (MNI) model for recommendation on knowledge graphs. MNI explores not only
doi:10.1371/journal.pone.0258410
pmid:34710122
pmcid:PMC8553089
fatcat:apyneopnl5dujemai4zihownpq