The innovative system underwent rigorous testing under real-world newsroom conditions, where editorial teams determined that the results were as reliable and relevant as existing high-standard approaches. This recognition is especially significant given the extreme selectivity of the SIGIR Industry Track, which chooses only a small number of papers globally from submissions by the world’s leading technology companies and research institutions. By securing this spot, NDTV becomes the first Indian media company ever to be selected in this category. Ritwick Ghosh, the lead author of the paper and Engineer, Machine Learning at NDTV, stated that while the challenge of searching through a massive, growing news library in milliseconds without losing relevance was simple to describe, it was difficult to solve. He emphasized that this work makes such a feat possible through a fast, efficient, and dependable method tailored for newsroom environments.
Rohan Tyagi, Chief Product Officer of NDTV Digital, highlighted that as content and audiences scale, the construction of such intelligent systems is essential to ensure that relevance is delivered instantly while maintaining a seamless user experience. This global recognition places NDTV among an elite group of international organizations driving advances in AI-driven search and discovery. Furthermore, it strengthens the network’s position as a newsroom dedicated to building technology grounded in practical, real-world utility. NDTV remains India’s most trusted window to the world, defined by credibility and a commitment to accuracy across its diverse portfolio, including NDTV 24x7, NDTV India, NDTV World, NDTV Profit, and regional channels like NDTV Rajasthan, NDTV Madhya Pradesh–Chhattisgarh, and NDTV Marathi. Serving half a billion people globally, the NDTV digital ecosystem provides real-time access to news and analysis at scale, continuing its core pursuit of making sense of a complex world with clarity, integrity, and purpose.
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