Nudging strategies that can be integrated into recommender systems

Idea

Recommender systems help to filter the tremendous amount of content available. The user can then choose from the filtered content, typically presented as an ordered list. How and where—and if at all—content is presented may influence a user’s decision on what to select. It may even drive the user to abandon the offer and potentially switch to a competitor. Nudging is a strategy to subtly guide a user in the selection process. How can nudging be integrated into recommender systems? What is already widely integrated, and what strategies have not yet been leveraged in typical recommender systems?

Relevant references:

• Mathias Jesse & Dietmar Jannach (2021). Digital nudging with recommender systems: Survey and future directions. Computers in Human Behavior Reports, 3:100052. https://doi.org/10.1016/j.chbr.2020.100052