RESEARCH AREAS

Our research is divided into four function-based research programs: the Language program, the Customer program, the Vision program, and the Moonshot programs.

At Rakuten, we have more than 70 services, conduct research with the people who run those businesses, conduct on-site verification experiments and reflect the results in our businesses.

  • LANGUAGE PROGRAM

    Create structured product data using AI.

    • ・Fully automated AI catalog
    • ・Machine Translation
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  • VISION PROGRAM

    Provide a frictionless image based experience using advanced computer vision research.

    • ・Frictionless experience with images
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  • CUSTOMER PROGRAM

    Deep customer understanding to improve Rakuten membership value.

    • ・Customer Pre-trained Model
    • ・CDNA-IA
    • ・Credit Scoring
    • ・Social Graph
    • ・Policy Optimization
    • ・Geo Science
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  • MOONSHOT PROGRAMS

    Strategic initiatives by Rakuten for developing technologies for the future.

    • ・5G Experience
    • ・Autonomous Network
    • ・Cure Cancer
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PUBLICATIONS

Our publications in the field of computer science and AI, especially, Machine Learning, Deep Learning, Data Science, Computer Vision and Natural Language Processing.

VIEW ALL : INTERNATIONAL / JAPAN

Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization

Conference: SIGIR 2021

Author: Ramin Raziperchikolae, Young Joo Chung

Publication Year: 2021

Improving Cold-start Item Advertisement for Small Businesses

Conference: SIGIReCOM

Author: Yang Shi, Young Joo Chung

Publication Year: 2021

Label-Guided Learning for Item Categorization in e-Commerce

Conference: North American Chapter of the Association for Computational Linguistics (NAACL)

Author: Lei Chen, Hirokazu Miyake

Publication Year: 2021

Facial Action Unit Detection with Transformers

Conference: CVPR 2021

Author: Geethu Miriam Jacob, Bjorn Stenger

Publication Year: 2021

Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization

Conference: SIGIR 2021

Author: Ramin Raziperchikolae, Young Joo Chung

Publication Year: 2021

Improving Cold-start Item Advertisement for Small Businesses

Conference: SIGIReCOM

Author: Yang Shi, Young Joo Chung

Publication Year: 2021

Label-Guided Learning for Item Categorization in e-Commerce

Conference: North American Chapter of the Association for Computational Linguistics (NAACL)

Author: Lei Chen, Hirokazu Miyake

Publication Year: 2021

Facial Action Unit Detection with Transformers

Conference: CVPR 2021

Author: Geethu Miriam Jacob, Bjorn Stenger

Publication Year: 2021

PRESENTATION ARCHIVE

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CAREERS

We are always looking for great talent and researchers to lead us and work with us.

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