FAccTRec 2022: The 5th Workshop on Responsible Recommendation

FAccTRec 2022: The 5th Workshop on Responsible Recommendation
https://facctrec.github.io/facctrec2022/

- Date: 2022-09-23
- Venue: Seattle, USA and Online
- in conjunction with the RecSys 2022 https://recsys.acm.org/recsys22/

The FAccTRec2022 workshop is a venue for discussing problems of social responsibility in building, maintaining, evaluating, and studying recommender systems, including but not limited to issues of fairness, accountability, and transparency.

You will find slides and related materials at https://facctrec.github.io/facctrec2022/program/

[Presentations]
00:00:00 - Opening (The head part is missing)
00:04:51 - Invited Talk: Causality-based Fair Machine Learning for Sequential Decision Making
00:52:19 - Random Isn’t Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems
01:09:42 - Towards Fair Conversational Recommender Systems
01:22:28 - Exposure-Aware Recommendation using Contextual Bandits
01:40:02 - The Users Aren’t Alright: Dangerous Mental Illness Behaviors and Recommendations
01:48:14 - Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems
01:56:45 - Solutions to preference manipulation in recommender systems require knowledge of meta-preferences
02:02:47 - Fair Matrix Factorisation for Large-Scale Recommender Systems
02:20:50 - Hidden Author Bias in Book Recommendation
02:40:44 - Matching Consumer Fairness Objectives & Strategies for RecSys
02:58:23 - The Role of Bias in News Recommendation in the Perception of the COVID-19 Pandemic
03:13:49 - A Stakeholder-Centered View on Fairness in Music Recommender Systems
03:22:36 - Who Pays? Personalization, Bossiness and the Cost of Fairness
03:29:54 - What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
03:37:03 - Analyzing the Effect of Sampling in GNNs on Individual Fairness
03:53:57 - Towards Responsible Medical Diagnostics Recommendation Systems
04:03:55 - Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design
04:12:09 - RecSys Fairness Metrics: Many to Use But Which One To Choose?

Видео FAccTRec 2022: The 5th Workshop on Responsible Recommendation канала ACM RecSys