Workshop on the Impact of Recommender Systems

Research in the area of recommender systems is largely focused on helping individual users finding items they are interested in. The implicit underlying goal of such a system is to affect users in different positive ways, e.g., by making their search and decision processes easier or by helping them discover new things. Recommender systems, however, can also have other direct impacts, e.g., increased sales diversity across the site or indirect impact like reducing churn rates.

The main goals of the workshop are:

1. To serve as a platform where researchers can present their latest works in which they analyzed different forms of impact of recommenders. We consider both papers where impact on individual users was measured (e.g., more healthy eating habits that were stimulated by a food recommender or a more efficient choice process), papers that highlight effects on a community or a society as a whole, and papers that demonstrate effects in terms of business value.
2. To host an interactive session that would explore new ways to measure the impact of recommender systems within academic settings.
3. To serve as an instrument to raise awareness in the community regarding the importance of impact-oriented research.

Organizers

• Oren Sar Shalom, Intuit
• Dietmar Jannach, University of Klagenfurt
• Joseph Konstan, University of Minnesota

Website

https://impactrs20.github.io/

Date

14:00 – 18:00, Attend in Whova

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