The 2nd FATREC Workshop on Responsible Recommendation

The 2nd FATREC Workshop on Responsible Recommendation at RecSys 2018 is a venue for discussing problems of social responsibility in maintaining, evaluating, and studying recommender systems. The importance of the problem are now increasing due to the empowerment of social networking technologies and the change of social environment, such as the enforcement of the EU General Data Protection Regulation. In this workshop, we are welcome research and position papers about ethical, social, and legal issues brought by the development and the use of recommendation. And, we will conduct a discussion for research to contribute socially responsible recommendation.

Topics of Interest

FATREC stands for Fairness, Accountability and Transparency in Recommender Systems and aims to draw attention to these issues at ACM RecSys, as has been done in the machine learning community through events such as FAT* conference. There are many potential aspects of responsibility in recommendation, including (but not limited to):

  • Responsibility: what does it mean for a recommender system to be socially responsible? How can we assess the social and human impact of recommender systems?
  • Fairness: what might ‘fairness’ mean in the context of recommendation? How could a recommender be unfair, and how could we measure such unfairness?
  • Accountability: to whom, and under what standard, should a recommender system be accountable? How can or should it and its operators be held accountable? What harms should such accountability be designed to prevent?
  • Transparency: what is the value of transparency in recommendation, and how might it be achieved? How might it trade off with other important concerns?
  • Compliance: how should algorithms and especially recommendation algorithms be designed to adhere the laws or regulations, such as the EU GDPR or the IEEE EAD? How should data collection be rethought to meet those new privacy standards ? How to meet the requirements in terms of transparency and explainability of algorithmic decisions.
  • Safety: how can a recommender system distorts users’ opinions? what is required to be resilient to such a distortion? What is a proper treatment of private or sensitive information when making recommendation?

Submission Guidelines

We encourage submissions in the above topics. No official proceedings will not be published, because the focus of this workshop is discussion about the directions to build and manage responsible recommender systems. All accepted papers manuscripts will be expected to be posted on by the authors. We allow manuscripts that have already published or that are currently submitted to another venue, so long as arXiv publication is compatible with that venue’s requirements; already-published manuscripts should be accompanied by a cover abstract justifying their contribution specifically to FATREC.

Manuscripts must be submitted through an online submission system and will be reviewed by a program committee. The review process is a single-blind, the authors names do not needed to be anonymized. Presentations will be held in an oral or a poster style.

Position Papers

Position papers addresses one or more of the above themes, or practical issues in building responsible recommendations. These could be both research systems or production systems in industry. The number of pages should be limited to two (2) pages.

Research Papers

Research papers presents empirical or analytical results related to the social impact of recommender systems or algorithms. These could be explorations of bias in recommender systems (either live systems or sandboxed algorithms), explainability and transparency of recommender systems, experiments regarding the impact of the recommender on its users or others, etc. We will construe the topics broadly. The number of pages should be limited from four (4) to six (6) pages.


Paper format

We strongly encourage to format in ACM sigconf format with the subsequent options.

  • set the sigconf options in documentclass
  • \setcopyright{none}
  • a CCS class and keywords parts can be omitted

However, we will not limit to this format, and will accept one of the IEEE proceedings format, the NIPS format, and the ICML proceedings format.

Submission site

  • Manuscripts must be submitted electronically in the EasyChair(closed).
  • Please add your favorite track name, Position or Research, at the first keyword field.

Important Dates

  • 2018-07-23 (extended) 2018-07-16: Paper submission deadline
  • 2018-08-13: Author notification
  • 2018-09-10: Final version upload
  • 2018-10-06: Workshop (full day)

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