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Leveraging Cross-Domain Social Media Analytics to Understand TV Topics Popularity.

, , , and . IEEE Comput. Intell. Mag., 11 (3): 10-21 (2016)

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Leveraging Cross-Domain Social Media Analytics to Understand TV Topics Popularity., , , and . IEEE Comput. Intell. Mag., 11 (3): 10-21 (2016)Event-driven TV Programs Web Community Exploration., , and . HT (Extended Proceedings), volume 1914 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)The Touristic Sector in the 5G Technology Era: The 5G-TOURS Project Approach., , , , , , , and . GLOBECOM (Workshops), page 1-6. IEEE, (2020)Personalized Semantic News: Combining Semantics and Television., , , , , , , and . UCMedia, volume 40 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 137-140. Springer, (2009)The second life of television content.. Polytechnic University of Milan, Italy, (2014)Personalized newscasts and social networks: a prototype built over a flexible integration model., , and . WWW (Companion Volume), page 433-436. ACM, (2012)The ACMS, a model-driven approach to new interactive television services production and delivery., , and . AMBI-SYS, page 2. ICST, (2008)MeSoOnTV: a media and social-driven ontology-based TV knowledge management system., , , , and . HT, page 208-213. ACM, (2013)Tracking and analyzing TV content on the web through social and ontological knowledge., , , , , and . EuroITV, page 13-22. ACM, (2013)Bonding Functionality for Live Video Streaming over 5G networks., , , , , , , , and . MeditCom, page 274-279. IEEE, (2022)