Impact@RecSys2020: The 2nd Workshop on the Impact of Recommender Systems

The research literature that considers such more direct measurements of impact of recommender systems on the various stakeholders is comparably scarce and scattered. With the proposed workshop, we pursue different goals.

First, the workshop will 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.

Second, the goal of the interactive session is to explore new ways how the impact of recommender systems can be measured within academic settings, i.e., were some impacts can only be analyzed based on simulations or alternative computational measures.

Third, the workshop shall serve as an instrument to raise awareness in the community regarding the importance of impact-oriented research. This aspect in our view is particularly important as more and more research works indicate that optimizing for the most accurate prediction not necessarily leads to the best recommendations in terms of the users’ quality perception or the desired effects of a recommender.

More: https://impactrs20.github.io/