Streaming media have been seeing massive year over year growth in terms of consumption hours recently. For many people, streaming services have become part of everyday life and accessing and consuming media content via streaming is now the norm for people of all ages. Powered by Machine Learning (ML) algorithms, streaming services are becoming one the most visible and impactful applications of ML that directly interact with people and influence their lives.
Despite the rapid growth of streaming services, the research discussions around GenAI for streaming media remain fragmented across different conferences and workshops. Also, the gap between academic research and constraints and requirements in industry limits the broader impact of many contributions from academia. Therefore, we believe that there is an urgent need to: 1. Build connections and bridge the gap by bringing together researchers and practitioners from both academia and industry working on these problems 2. Attract more GenAI and ML researchers from other areas to streaming media problems 3. Bring up the pain points and implementation challenges in industry to which academia researchers can pay more attention to
With this motivation in mind, we are organizing a workshop on Generative AI for Streaming Media (GenAI4SM) in conjunction with the WSDM 2026. We invite quality research contributions, including original research, preliminary research results, and proposals for new work, to be submitted. All submitted papers will be peer reviewed by the program committee and judged for their relevance to the workshop, especially to the topics identified below, and their potential to generate discussion. Accepted submissions will be presented at the workshop and will be published in the companion (workshop) proceedings of the WSDM 2026. We welcome research that has been previously published or is under review elsewhere. Such articles should be clearly identified at the time of submission and will not be published in the proceedings.
Important dates
- Submission deadline: 21st of November 2025
- Author notification: 18th of December 2025
- Camera-ready version deadline: 7th of January 2026
- Workshop: 26th of February 2026
Contact
organizers-genai4sm at googlegroups dot com
Workshop Organizers
- Amit Goyal - Senior Applied Scientist, Amazon Music
- Vladan Radosavljevic - Machine Learning Engineering Manager, Spotify
- Sudarshan Lamkhede - Manager, Machine Learning - Search and Recommendations, Netflix Research.
- Praveen Chandar - Staff Research Scientist, Spotify
- Arnab Bhadury - Staff Machine Learning Engineer, YouTube
- Tao Ye - Director of GenAI, Lyft
Program Committee
- Alexander Buchholz, Senior Applied Scientist [Amazon]
- Amina Shabeer, Applied Science Manager [Amazon]
- Becky Zhang, Senior Research Scientist [Amazon]
- Ben London, Principal Applied Scientist [Amazon]
- Chelsea Weaver, Senior Research Scientist [Amazon]
- Claudia Hauff, Staff Research Scientist [Spotify]
- Daniel Nemirovsky, ML Manager [Disney Streaming]
- Dibyajyoti Pati, Senior Applied Scientist [Amazon]
- Eder Santana, Senior Applied Scientist [Twitch]
- Ehsan Saberian, ML Researcher [Netflix]
- Emanuele Coviello, Principal Applied Scientist [Amazon]
- Fabrizio Silvestri, Professor [University of Rome]
- Giuseppe Di Benedetto, Applied Science Manager [Amazon]
- James Dreiss, Senior ML Manager [Disney Streaming]
- Jan Malte Lichtenberg, Principal Applied Scientist [Albatross AI]
- Jayson Salkey, Lead ML Engineer [Disney Streaming]
- Jelena Gligorijevic, ML Researcher [Yahoo]
- Kimi Song, Staff Data Scientist [Toast]
- Lena Evans, Senior Applied Scientist [Amazon]
- Maryam Toloubidokhti, PhD Student and Research Assistant [University of Rochester]
- Massimo Quadrana, ML Researcher [Apple Music]
- Oguz Semerci, Staff Machine Learning Engineer [Spotify]
- Orpaz Goldstein, Research Scientist [Amazon]
- Peiyao Wang, Applied Scientist [Amazon]
- Preethi Bojja, Applied Scientist [Twitch]
- Rahul Ghosh, Applied Scientist [Amazon]
- Raza Khan, Applied Scientist [Amazon]
- Rishabh Mehrotra, Director of Machine Learning [ShareChat]
- Sriraj Badam, Senior Staff Machine Learning Engineer [YouTube]
- Valerie Pocus, ML Manager [Disney Streaming]
- Vito Bellini, Senior Applied Scientist [Amazon]
- Xiangyu (Daneo) Zhang, Tech Lead [TikTok]
- Yannik Stein, Senior Applied Scientist [Amazon]
- Zahra Nazari, Senior Research Scientist [Spotify]
- Amol Singbal, Data Scientist [Amazon]
- Jay Lee, Senior Applied Scientist [Amazon]
- Smith Kakar, Data Scientist [Amazon]
- Gaoyuan Du, Senior Applied Scientist [Amazon]