5 stories tagged with #recommendation-systems, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
We model the interaction between a user and an AI driven recommendation system. The user initiates the process by conveying preference information through a costly and noisy messag…
Building Real-Time E-Commerce Recommendation Systems on AWS
Modern e-commerce platforms are no longer competing only on price or product variety. Today, customer...…
Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Service
A practical walkthrough of building and deploying a multistage, multimodal recommender system on Amazon EKS, covering data pipelines, model training, Bloom filters, feature caching…
SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation
Generative recommendation treats next-item prediction as autoregressive item-identifier generation. Specifically, items are encoded as semantic identifiers (SIDs), which are short …
Generative Long-term User Interest Modeling for Click-Through Rate Prediction
Modeling long-term user interests with massive historical user behaviors enhances click-through rate (CTR) prediction performance in advertising and recommendation systems. Typical…