Metadata standard for interoperable Recommender Systems
The project is aimed at designing and implementing metadata standard for enabling interoperability between different Recommendation Systems
ISO/IEC 21000-22:2016, Information technology — Multimedia framework (MPEG-21) — Part 22: User Description
Paolo Casagranda e Sabino Metta, Leggi questo articolo, una tua amica lo ha trovato interessante. Un’introduzione alle opportunità e criticità dei recommender system per la personalizzazione dei contenuti audiovisivi, Elettronica e Telecomunicazioni, LXV – N. 2/2016
Sabino Metta Paolo Casagranda Alberto Messina Maurizio Montagnuolo e Francesco Russo, Leveraging MPEG-21 User Description for Interoperable Recommender Systems, SAC 2016
Sabino Metta Maurizio Montagnuolo e Alberto Messina, MPEG-21 UD: A SOLUTION FOR HORIZONTAL INTEGRATION OF MEDIA RECOMMENDATION SYSTEMS, IBC 2015
Riccardo Di Massa, Maurizio Montagnuolo, Alberto Messina, Implicit News Recommendation Based on User Interest Models and Multimodal Content Analysis, 3rd ACM Workshop on Automated Information Extraction in Media Production ACM Multimedia 2010
Recommender Systems for Audio and Video Contents
An investigation of the solutions to limit information overload for radio television media
The advent of the Internet and the proliferation of digital services have led to a radical change in the way people enjoy radio and television. The plethora of products, services and content available on the Internet has accustomed its users to interactivity, the ability to search and choose when and what media content to listen, transforming the traditional radio and television listeners into an active consumers, capable of expressing their tastes and preferences. Paradoxically, the vast amount of content available has created an informative overhead and created the problem of finding the most suitable content for each user.
Recommender Systems represent the technological response to the need of relevance. In this context, the broadcaster has the opportunity to evolve its communicative paradigm: in addition to broadcast its content, it can propose the most relevant to its users.
Personalized Linear Radio
Personalized Radio and the Hybrid Content Radio Framework
Personalized Linear Radio is based on the idea of replacing part of the audio of linear radio with personalized and user-specific audio content. Audio content can be downloaded from the Internet or from other sources. The context can be the profile of the listener, her mood and activity she is doing, her position, the weather conditions, and all the factors that contribute to characterizing the listener’s status. The ultimate goal of the service is to improve listeners’ user experience, giving them targeted content, while optimizing the use of network resources.