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Found 5 papers, 0 papers with code
Exploring 360-Degree View of Customers for Lookalike Modeling
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 user base.
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation
The smoothing is specially desired in the presence of homophilic graphs, such as the ones we find on recommender systems.
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion
Then, we show that these models utilize paths for link prediction and propose a method for evaluating rules based on this idea.
Graph Pattern Entity Ranking Model for Knowledge Graph Completion
To solve this problem, many knowledge graph embedding models have been developed to populate knowledge graphs and these have shown outstanding performance.
TorusE: Knowledge Graph Embedding on a Lie Group
To the best of our knowledge, TorusE is the first model that embeds objects on other than a real or complex vector space, and this paper is the first to formally discuss the problem of regularization of TransE.
