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Publications (4)
As the music consumption paradigm moves towards streaming services, users have access to increasingly large catalogs of music. In this scenario, music classification plays an important role in music discovery. It enables, for example , search by genres or automatic playlist creation based on mood. In this work we study the classification of song mo...
The classification of television content helps users organise and navigate through the large list of channels and programs now available. In this paper, we address the problem of television content classification by exploiting text information extracted from program transcriptions. We present an analysis which adapts a model for sentiment that has...
In an age where information is one click away, users find themselves overloaded with choice. Thus, there is a need for intelligent systems to help users make decisions by organising content in smarts ways. Moreover, the business model for entertainment content has dramat- ically changed in the last decade. Nowadays users pay a monthly subscription...
Neighbourhood-based recommender systems are a class of collaborative filtering algorithms, which rely on finding like-minded users to generate recommendations, automating what is usually known as word-of-mouth. These systems attempt to solve the information overload problem by presenting the user with relevant items. However, there is evidence show...
