HIGHLIGHTS
- who: Zhifeng Liu and collaborators from the School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China have published the Article: Personalized Relationships-Based Knowledge Graph for Recommender Systems with Dual-View Items, in the Journal: Symmetry 2022, 14, 2386. of /2022/
- what: To address the limitation of existing KG-based recommendation methods, the authors propose a personalized relationships-based knowledge graph for recommender systems with dual-view items (PRKG-DI), a novel end-to-end symmetry framework for knowledge graph-aware recommendation. The authors propose PRKG-DI, an end-to-end symmetry framework . . .
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