LOS ANGELES—Adult social network JustFor.fans (JFF) has unveiled its latest personalized ‘Recommendations’ page, which suggests new models to members.
The all-new feature uses Artificial Intelligence to detect existing models the JFF member has already subscribed to, and then suggest what other models they might like, based on who else subscribes to those models and who else they subscribe to.
“JustFor.fans focuses a lot on providing internal traffic to our models; unlike other sites, in which models are responsible for bringing all of their own traffic, our models routinely attribute 30-40 percent of their sales to our internal traffic,” said JFF CEO and founder Dominic Ford. “We expect that percentage to go up with the launch of this new feature, which is one more way we introduce users to models they might not know about yet."
The ‘Recommendations’ system takes many factors into account to assist JFF members, such as how long ago they subscribed to a particular model, how often that model updates their content, etc. The list of suggestions returned are models that have been active within the last two weeks on JFF, and exclusive models are shown first.
Before his work in the adult industry, Ford was a software engineer at an Artificial Intelligence think tank in Cambridge, MA. He later went on to lead development teams for personalization software (building and using systems like the one JFF is using) for major retail websites.
“Artificial Intelligence software development is my background, so it was only a matter of time until I integrated a system similar to the ones I used to build for the Department of Defense and major retail websites into JustFor.fans,” he added, “and the results have been stunning. The page is already responsible for a large percentage of new sales per day.”
To learn more about the new ‘Recommendations’ feature, visit justfor.fans. Follow JustForfans on Twitter!
