  Adult content constitutes a major source of Internet traffic. As with many
other platforms, these sites are incentivized to engage users and maintain them
on the site. This engagement (e.g., through recommendations) shapes the
journeys taken through such sites. Using data from a large content delivery
network, we explore session journeys within an adult website. We take two
perspectives. We first inspect the corpus available on these platforms.
Following this, we investigate the session access patterns. We make a number of
observations that could be exploited for optimizing delivery, e.g., that users
often skip within video streams.
