The evaluation of the topic space recommendation model is explored here as an alternative to the personalization algorithms based on large datasets that often result in content and subject matter filter bubbles. The content filter bubbles that dominate contemporary Internet media platforms have been shown to provide users more of what they already consume and exclude relevant content at the expense of user exploration and discovery.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
