English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models

MPS-Authors
/persons/resource/persons208714

Ghazimatin,  Azin
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons185343

Saha Roy,  Rishiraj
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Ghazimatin, A., Pramanik, S., Saha Roy, R., & Weikum, G. (in press). ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. In Proceedings of The Web Conference 2021. New York, NY: ACM.


Cite as: http://hdl.handle.net/21.11116/0000-0008-0303-1
Abstract
There is no abstract available