DIN: Deep Interest Network for Click-Through Rate Prediction
Learning Target Item Aware User Interest Representation for CTR Prediction
#recommender-systems
Posts tagged #recommender-systems
Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce
Authors propose Online Personalized Attribute-based Re-ranker (OPAR), a light-weight, within-session personalization approach using multi-arm bandits (MAB). Each arm of the MAB represents an attribute. As users interact with products, the bandit lear...
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems
ReLoop
AITM: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
ESMM et al. - Part 4
ESM2: Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
ESMM et al. - Part 3
ESMM: Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
ESMM et al. - Part 2
