Airbnb, Inc.
Recommendations with consequences exploration

Abstract:

Disclosed are ways to generate and present recommendations which provide a user with the ability to explore the follow-on consequences of accepting the recommendations. In some aspects, a method includes receiving a first user input including a recommendation topic, presenting, via a display, an exploration structure including a node corresponding to the recommendation topic, receiving data corresponding to the node from a knowledge repository, analyzing the received data to determine at least one follow-on recommendation based on the node, and presenting each determined follow-on recommendation in the exploration structure as a child node of the node corresponding to the recommendation topic.