Case Study: Slickdeals achieves 70% increase in product detail CTR and 30% increase in affiliate CTR with Recombee real-time AI recommendations

Ai Product Recommendations With Highly Volatile Inventory and User-generated Content

Slickdeals, a social shopping platform with 25 million users, needed real-time, time-sensitive recommendations to handle a highly volatile inventory of user-generated deals and coupons. Recombee provided an AI-powered recommendation solution to surface timely, vote-driven deals and deliver immediate personalization for each individual user.

Recombee implemented a “Just For You” homepage section, custom business rules for expired deals, and a complex ensemble of incrementally trained ML models (collaborative filtering with sparse LSH, RNN-based NLP, CNN image processing) with queued near-real-time updates and contextual bandit reinforcement learning. Recombee’s deployment produced a 70% increase in CTR to product detail pages and a 30% increase in CTR to affiliate links, boosting engagement and real-time personalization on Slickdeals.

Slickdeals

Daniel Uhm

Product Manager