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Chapitre d'ouvrage

IA-Regional-Radio - social network for radio recommendation

Abstract : This chapter describes the functions of a system proposed for the music hit recommendation from social network data base. This system carries out the automatic collection, evaluation and rating of music reviewers, the possibility for listeners to rate musical hits and recommendations deduced from auditor's pro les in the form of regional internet radio. First, the system searches and retrieves probable music reviews from the Internet. Subsequently, the system carries out an evaluation and rating of those reviews. From this list of music hits the system directly allows notation from our application. Finally the system automatically create the record list di used each day depended form the region, the year season, day hours and age of listeners. Our system uses linguistics and statistic methods for classifying music opinions and data mining techniques for recommendation part needed for recorded list creation. The principal task is the creation of popular intelligent radio adaptive on auditor's age and region - IA-Regional-Radio.
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Chapitre d'ouvrage
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Soumis le : vendredi 13 décembre 2013 - 14:41:11
Dernière modification le : vendredi 23 octobre 2020 - 16:48:06
Archivage à long terme le : : mardi 18 mars 2014 - 12:40:53


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Grzegorz Dziczkowski, Lamine Bougueroua, Katarzyna Wegrzyn-Wolska. IA-Regional-Radio - social network for radio recommendation. Computational Social Network Analysis, Springer, pp 413-436, 2010, 1617-7975, 978-1-84882-228-3. ⟨10.1007/978-1-84882-229-0_16⟩. ⟨hal-00918395⟩



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