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Tjondronegoro, D. (2017a, November 10). Programmatic TV meets new technology-driven TV behaviour data. ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/programmatic-tv-meets-new-technology-driven-tv-behaviour-data-9160
Whitehead, S. (2017a, October 26). Using qualitative research to develop and understand the impact of media content in difficult contexts. ANA - ESOMAR. Retrieved September 27, 2024, from
Sanchez, J. C. (2017a, June 15). Mexican TVolution (Spanish). ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/mexican-tvolution-spanish-
Rocha and Frias (2017a, June 15). A conversation with Globo. ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/a-conversation-with-globo
Ramgarhia, Mundhwa and Deshmukh (2017a, May 09). Indian TV industry. ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/indian-tv-industry
Malthouse and Franks (2017a, January 15). Addressable TV Advertising. ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/addressable-tv-advertising-8954
Ruiz, A. (2017a, January 15). Predicting TV viewership with neural networks. ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/predicting-tv-viewership-with-neural-networks
Tjondronegoro, D. (2017a, January 15). Programmatic TV meets new technology-driven TV behaviour data. ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/programmatic-tv-meets-new-technology-driven-tv-behaviour-data
Luzzi and Epstein (2016a, November 18). A machine-learning app for TV show acquisitions. ANA - ESOMAR. Retrieved September 27, 2024, from
https://ana.esomar.org/documents/a-machine-learning-app-for-tv-show-acquisitions