Challenges of the User-Generated Content
Users are continuously adding new posts to 9GAG's platform, so to achieve high-quality personalization, the recommendation system must be able to process them instantly.
Newly added posts must gain immediate traction by being recommended to the right users through either similarity of visual/textual content or first interactions received.
Traditional recommender systems that utilize a standalone "model training phase" cannot handle such situation well, because when the batch training of traditional recsys model is finished, the model is already obsolete.
Recombee's unique technology of online and incremental model training is designed to ensure smooth personalization for huge and ever-growing catalogs.
In combination with reinforcement learning, Recombee can also identify and promote "hidden gems", which is critical for any social network.