Explore our Resources:
Pioneering AI-Driven
Personalization

Explore Our
Resources

Pioneering
AI-Driven
Personalization

Explore how Albatross transforms user engagement through advanced AI-driven personalization. Whether you're seeking a deep dive into our cutting-edge technology, strategic insights for your business, or scientific research that powers our solutions, you'll find everything you need here.

For Business Leaders


Inspire Users and Boost Conversations


Discover what sets Albatross apart. Get an in-depth understanding of our products and how we leverage advanced AI to deliver exceptional user experiences. Learn why building in-house solutions is cost-prohibitive and how Albatross delivers superior user experiences.

Read the Albatross Company Memo

For Technical Experts


Dive Deep into Our Services and Integrations


Discover the core functionalities of Albatross, how the platform works under the hood, and the required integrations with your existing infrastructure, enabling seamless deployment of Albatross AI-driven personalization at scale.

Read the Albatross Platform and Integrations

For Product Managers and Marketers


Drive Revenue Growth Through Personalized Marketing


Discover how Albatross enables marketing teams to deliver highly personalized campaigns at scale, streamlining the process from testing to execution. Learn how we leverage advanced AI techniques to fully automate testing and optimize the effectiveness of every campaign—eliminating the heavy lifting associated with traditional methods.

Read the Personalized Marketing Guide

For Data Science Teams


Empower Data Science Teams to Deliver Personalization at Scale


Discover how Albatross acts as a force multiplier for data science teams, providing scalable infrastructure to overcome bottlenecks associated with deploying machine learning models. Teams can either fully outsource personalization to Albatross or leverage it to bring their models into production.

Read the Albatross Data Science Guide

Our Published Work


Explore the research and methodologies that underpin our technology. Delve into our published work on improving ranking, A/B testing, and more.


  • Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending (link)

  • Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation (link)

  • Contextual position bias estimation using a single stochastic logging policy (link) 

  • Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling (link)

  • Fair Effect Attribution in Parallel Online Experiments (link)

  • Modeling Position Bias Ranking for Streaming Media Services (link)

  • Ranker-agnostic Contextual Position Bias Estimation (link)

Our Published Work


Explore the research and methodologies that underpin our technology. Delve into our published work on improving ranking, A/B testing, and more.


  • Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending (link)

  • Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation (link)

  • Contextual position bias estimation using a single stochastic logging policy (link) 

  • Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling (link)

  • Fair Effect Attribution in Parallel Online Experiments (link)

  • Modeling Position Bias Ranking for Streaming Media Services (link)

  • Ranker-agnostic Contextual Position Bias Estimation (link)