• Corpus ID: 64735718

Tag Recommendation using Folksonomy Information for Online Sound Sharing Platforms

@inproceedings{Font2015TagRU,
  title={Tag Recommendation using Folksonomy Information for Online Sound Sharing Platforms},
  author={Frederic Font},
  year={2015}
}
  • F. Font
  • Published 2015
  • Computer Science
Online sharing platforms host a vast amount of multimedia content generated by their own users. Such content is typically not uniformly annotated and can not be straightforwardly indexed. Therefore, making it accessible to other users poses a real challenge which is not specific of online sharing platforms. In general, content annotation is a common problem in all kinds of information systems. In this thesis, we focus on this problem and propose methods for helping users to annotate the… 
2 Citations
Sound Sharing and Retrieval
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This chapter describes how to build an audio database by outlining different aspects to be taken into account and discusses metadata-based descriptions of audio content and different searching and browsing techniques that can be used to navigate the database.
Learning Contextualized Music Semantics from Tags Via a Siamese Neural Network
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Comparative results suggest that the recently proposed approach based on a Siamese neural network outperforms previous approaches in terms of semantic priming and music tag completion.

References

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TLDR
This paper proposes four algorithm variants for tag recommendation based on tag co-occurrence in the Freesound folksonomy and shows how specific strategies for selecting the appropriate number of tags to be recommended can significantly improve algorithms’ performance.
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TLDR
The authors present a general scheme for building a folksonomy-based tag recommendation system to help users tagging online content resources and show how novel strategies for selecting the appropriate number of tags to be recommended can significantly improve methods performances.
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TLDR
This work deeply analyze the impact of a tag recommendation system in the folksonomy of Freesound, a real-world and large-scale online sound sharing platform and suggests that tag recommendation effectively increases vocabulary sharing among users of the platform.
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TLDR
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TLDR
This paper analyzes the folksonomy of Freesound, an online audio clip sharing site which contains more than two million users and 150,000 user-contributed sound samples covering a wide variety of sounds, and compute some metrics that characterize the guysonomy both at the global level and at the tag level.
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TLDR
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TLDR
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TLDR
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TLDR
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