Marketing Personalization & Recommendation Systems

Deliver relevant experiences with data-driven recommenders, uplift modeling, experimentation, and guardrails for fairness and privacy.

Personalization aligns content, offers, and recommendations to user intent. Strong systems blend user/item features, sequence signals, real-time context, and continuous testing.

Next-best-action/product, bundles, cross-sell

Similar items with vector search + filters

Session-based recs for cold/anonymous users

live demo · related simulation● LIVE

Serving: low-latency vector search for candidates; online features; ca

Experimentation: A/B and multi-armed bandits; guardrails on revenue, churn, fairness.

Sequences: last N interactions, dwell time, query terms.

Frequently asked questions

What are recall@K, NDCG, MAP, and uplift AUC used for in offline evaluation of recommendation systems?

recall@K, NDCG, MAP, and uplift AUC are metrics used to assess the performance of treatment models in offline evaluations, measuring how well recommendations align with user preferences and impact outcomes.

How are CTR, CVR, ARPU, retention, and unsubscribe/complaint rates measured in online recommendation system performance?

CTR (Click-Through Rate), CVR (Conversion Rate), ARPU (Average Revenue Per User), retention, and unsubscribe/complaint rates provide real-time insights into the user engagement and revenue generated by a recommendation system’s online recommendations.

What is exposure parity and how does it contribute to fairness in recommendation systems?

Exposure parity ensures that different user groups receive similar levels of recommendations for items, mitigating potential biases and promoting equitable access to relevant products or content. Filtering sensitive attributes helps achieve this.

What types of content policy filters are used to prevent unsafe or restricted items from being recommended?

Content policy filters utilize predefined rules and algorithms to identify and block recommendations for inappropriate, harmful, or restricted items, safeguarding users and maintaining a safe online environment.

▶ Try it live

Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Earthquake Wave Propagation Simulation simulation

Marketing Personalization & Recommendation Systems | ML Knowledge Hub