Emergent specialization from participation dynamics and multi-learner retraining

arXiv:2206.02667v3 Announce Type: replace
Abstract: Numerous online services are data-driven: the behavior of users affects the system's parameters, and the system's parameters affect the users' experience of the service, which in turn affects the way users may interact with the system. For example, people may choose to use a service only for tasks that already works well, or they may choose to switch to a different service. These adaptations influence the ability of a system to learn about a population …

abstract arxiv behavior cs.gt cs.lg data data-driven dynamics example experience online services parameters people retraining service services stat.ml the way type