Promotional content lacked personalization
Inconsistent metadata and fragmented content limited the effectiveness of promotional recommendations.
We upgraded recommendation infrastructure
A new model was deployed to personalize promotions across channels and objectives.
Multi-task recommendation modeling
A Two-Tower TensorFlow model was implemented to jointly optimize click-through and conversion signals using both long-term and short-term user behavior.
Significant gains in recommendation accuracy
Improved ranking quality translated into more effective promotional targeting.
