Work

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

Year: 2023

Type: conference-paper

Abstract: Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/2023.emnlp-main.819

Authors: Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie

Institutions: University of Virginia, Netflix (United States), Meta (United States)

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Awards: III: Small: Towards Explainable Personalization, SCH: INT: Collaborative Research: Learning and Improving Alzheimer's Patient-Caregiver Relationships via Smart Healthcare Technology

OpenAlex ID: W4389523737

FWCI: 1.104

Cites: 66

Cited by: 5

Related to: 10