- Taboola Blog
- Data Science
Taboola’s Tracks methodology empowers leaders with strategic resource management and cross-functional collaboration to drive innovation and measurable impact.
Discover how Taboola’s Tracks methodology fosters cross-functional collaboration, innovation, and business impact, as we celebrate the success of Maximize Conversions and look ahead.
Explore how Taboola solved a complex memcached cluster network saturation issue impacting recommendation requests, using observability and cache distribution analysis.
Exploring strategies to improve performance in a diverse infrastructure, addressing issues with Skylake CPUs, AVX512 throttling, and TensorFlow updates, leading to notable enhancements in CPU frequency, load averages, and inference requests per core.
Unlock the secrets of multi-library projects in Android development. From Git submodules to Maven local repositories, discover efficient strategies for organizing and managing dependencies. Learn how to seamlessly work both locally and remotely, ensuring a smooth development cycle.
Learn how meaningful publisher features revolutionize recommendations. Explore data analysis, visualization, and CTR prediction. Witness improved models in action. Say hello to personalized content experiences!
The successful integration of LLMs has expanded news coverage on local publishers’ websites, akin to editors’ broader context, potentially enhancing coverage outcomes, albeit with considerations for latency and cost implications.
This article explores the implementation of real-time language synchronization between a web app and a browser extension. SEO title can be the same.
How Taboola took our CDC infrastructure to the next level.
Discover the evolution of Chrome extension development beyond Redux in the age of Manifest v3. Explore challenges, alternatives, and efficient solutions for state management, caching, and messaging. Learn the benefits of streamlining architecture, empowering content scripts, and future-proofing development.