11 citations · 16 across the 5 of their papers we have counts for
5 papers
Exploring 360-Degree View of Customers for Lookalike Modeling
Md Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol +5
Lookalike models are based on the assumption that user similarity plays an important role towards product selling and enhancing the existing advertising campaigns from a very large…
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation
Daisuke Kikuta, Toyotaro Suzumura, Md Mostafizur Rahman +5
Leveraging graphs on recommender systems has gained popularity with the development of graph representation learning (GRL). In particular, knowledge graph embedding (KGE) and graph…
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs are useful for many artificial intelligence tasks but often have missing data. Hence, a method for completing knowledge graphs is required. Existing approaches inc…
Graph Pattern Entity Ranking Model for Knowledge Graph Completion
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs have evolved rapidly in recent years and their usefulness has been demonstrated in many artificial intelligence tasks. However, knowledge graphs often have lots of…
TorusE: Knowledge Graph Embedding on a Lie Group
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs are useful for many artificial intelligence (AI) tasks. However, knowledge graphs often have missing facts. To populate the graphs, knowledge graph embedding model…