HIGHLIGHTS
- who: Xiaodong Mu and colleagues from the Xi`an Research Institute of High Technology, Xi`an, China have published the research: Multi-Feature Behavior Relationship for Multi-Behavior Recommendation, in the Journal: (JOURNAL)
- what: The authors propose a Multi-Feature Behavior Relationship for MultiBehavior (MFBR) framework which models the multi-behavior problem from both sequence structure and graph structure perspectives for user preference prediction of target behaviors. The authors propose a multi-behavior recommendation framework, MFBR, that learns higherorder behavioral interaction patterns on user-item multi-relationship graphs and captures sequence information among behaviors in . . .
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