--- title: "The Science of Unified Ranking: Integrating Ads and Organic Recommendations" url: https://daily.dev/posts/the-science-of-unified-ranking-integrating-ads-and-organic-recommendations-fecxacm1v source_url: https://blog.flipkart.tech/the-science-of-unified-ranking-integrating-ads-and-organic-recommendations-8cc24113ef21 type: article source: "Flipkart Tech" published: 2025-11-04T13:21:21.553Z updated: 2025-11-04T13:21:46.674Z tags: ["machine-learning", "ecommerce", "recommendation-systems"] reading_time: 14 upvotes: 1 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The Science of Unified Ranking: Integrating Ads and Organic Recommendations **[Flipkart Tech](https://daily.dev/sources/flipkart)** · 14 min read · 1 upvotes · 0 comments ## Summary Flipkart's engineering team developed a unified ranking system that allows sponsored ads and organic product recommendations to compete dynamically for placement slots, replacing the traditional fixed-slot approach. The solution addresses challenges like data distribution mismatches, fallback risks, and feature parity gaps through a single robust model using isAds flags and cross-features, combined with calibrated scoring functions. The system uses FTRL (Follow The Regularized Leader) algorithm for online learning and multi-stage filtering with CTR and CVR models. Production deployment resulted in a 1.36% increase in organic orders and 3.4% lift in ad revenue, demonstrating that dynamic ranking outperforms static ad placement while maintaining user experience. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [LLMs for Relevance: Automating High-Quality Product Relevance Labeling in Flipkart Search](https://daily.dev/posts/llms-for-relevance-automating-high-quality-product-relevance-labeling-in-flipkart-search-s41higuux) · Flipkart Tech · 9 upvotes · 1 comments - [Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking](https://daily.dev/posts/swiggy-improves-search-autocomplete-using-real-time-machine-learning-ranking-u1igryh41) · InfoQ · 1 upvotes · 0 comments - [A Big Win from a Small Search UI Change and a Predictive Model](https://daily.dev/posts/a-big-win-from-a-small-search-ui-change-and-a-predictive-model-badmu87qy) · Medium · 0 upvotes · 0 comments - [Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking](https://daily.dev/posts/uber-improves-restaurant-recommendations-using-real-time-signals-and-listwise-ranking-h5fa8iuso) · InfoQ · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#ecommerce](https://daily.dev/tags/ecommerce), [#recommendation-systems](https://daily.dev/tags/recommendation-systems) [View this post on daily.dev](https://daily.dev/posts/the-science-of-unified-ranking-integrating-ads-and-organic-recommendations-fecxacm1v)