🌟 Session Overview 🌟
Session Name: Building a Unified Viewing Experience with Multi-Provider TV Recommendation Engine Speaker: Natalija Tumanova Session Description: In today’s entertainment landscape, users expect seamless access to their favorite shows, whether from streaming platforms or live TV, across languages and regions. Telia Lithuania provides a TV service offering content from three different platforms, nearly a hundred multilingual linear channels, and a library of films and series for rent.
This presentation will take you on a journey through the design and development of a TV recommendation engine that integrates content from these multiple sources, overcoming the associated challenges across streams, formats, and languages. Starting from the initial prototype, we’ll explore how we tackled complexities such as metadata harmonization and the scarcity of linear TV attributes. As the project evolved into a more advanced AI-driven system, we incorporated machine learning techniques and leveraged large language models (LLMs) for specific subtasks.
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