Exploiting Auxiliary Information for Better Recommendation | PyCon APAC 2019

🎤 Exploiting Auxiliary Information for Better Recommendation

👤 Sun Zhu

Recommender systems inherently suffer from data sparsity and cold start problem. To address these issues, the auxiliary information (e.g., feature hierarchy, knowledge graph) has been incorporated into recommendation. This talk is focused on the latest recommendation algorithms with incorporation of feature hierarchy and knowledge graph.

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