no code implementations • 17 Apr 2023 • Md Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka
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.
no code implementations • 23 May 2022 • Daisuke Kikuta, Toyotaro Suzumura, Md Mostafizur Rahman, Yu Hirate, Satyen Abrol, Manoj Kondapaka, Takuma Ebisu, Pablo Loyola
The smoothing is specially desired in the presence of homophilic graphs, such as the ones we find on recommender systems.
no code implementations • 9 Sep 2019 • Takuma Ebisu, Ryutaro Ichise
Then, we show that these models utilize paths for link prediction and propose a method for evaluating rules based on this idea.
no code implementations • NAACL 2019 • Takuma Ebisu, Ryutaro Ichise
To solve this problem, many knowledge graph embedding models have been developed to populate knowledge graphs and these have shown outstanding performance.
no code implementations • 15 Nov 2017 • Takuma Ebisu, Ryutaro Ichise
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.