DIN: Deep Interest Network for Click-Through Rate Prediction
Learning Target Item Aware User Interest Representation for CTR Prediction
Aug 23, 20253 min read178
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#recommender-systems
Articles tagged with #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...
Dec 3, 20243 min read42
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems
ReLoop
Jun 12, 20245 min read76
AITM: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
ESMM et al. - Part 4
Jun 2, 20247 min read128
ESM2: Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
ESMM et al. - Part 3
May 23, 20245 min read279
ESMM: Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
ESMM et al. - Part 2
May 15, 20244 min read137