Group recommendation based on heterogeneous graph algorithm for ebsns

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  • who: Group Recommendation Based on et al. from the Laboratory of Mechanical Manufacture System, School of Management, Xi`an Jiaotong University, Xi`an, China have published the article: Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs, in the Journal: (JOURNAL)
  • what: The authors propose a recommender system to predict groups that may interest EBSN users a novel heterogeneous augmented graph method a random walk with restart algorithm. To demonstrate the effectiveness of the proposed approach, the authors focus on group recommendation, i.e., personalized recommendation of event-based groups to users. The authors propose . . .

     

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