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Transparent Personalization in E-Commerce

Contact: Michael Färber, Anna Nguyen

Project Status: completed


In the project "TransPer: Transparent Personalization in E-Commerce" aspects of causality, robustness and uncertainty of AI applications in an industrial environment are considered. The project specifically focuses on how product recommendations in the e-commerce sector can be made more transparent in order to achieve better customer satisfaction and to ensure compliance with legal requirements. In the project, the KIT Institute AIFB under the direction of Dr. Färber develops modules to make product recommendations in online web shops transparent. Econda GmbH, which works with around 20% of all German online shops, acts as an industrial partner.

Involved Persons
Philipp Sorg, Michael Färber, Anna Nguyen


Funding: BMBF


Econda GmbH

Research Group

Web Science

Area of Research

Deep Learning, Artificial Intelligence

Publications Belonging to the Project
 - book
 - incollection
 - booklet
 - proceedings
 - phdthesis
 - techreport
 - deliverable
 - manual
 - misc
 - unpublished

Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'21), pages: 251-267, Springer, Juli, 2021

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