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| Title: | Smart radio: personalized news radio |
| Author(s): | ; ; ; ; |
| Publication year: | 2018 |
| In: | The 17th dutch-belgian information retrieval workshop |
| Publisher: | [S.l. : s.n.] |
| Publication type: | Article in monograph or in proceedings |
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Please use this identifier to cite or link to this item : https://hdl.handle.net/20.500.12470/1096 
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| Lectorate : | Model-based Information Systems |
| Book title : | The 17th dutch-belgian information retrieval workshop |
| Abstract: |
In this demonstration paper we describe the SMART Radio app
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forBNRNieuwsradio. TheSMARTRadioappisanextensionto
the current BNR app, which offers users a more personalized news radio experience. It does so by automatically fragmenting shows to offer our users more targeted and focused fragments of audio, not full shows. We employ audio segmentation and audio topic- tagging techniques to achieve this, which we describe in this paper. In its present form, users can subscribe to tags to get appropriate suggestions of relevant radio fragments. In the future we would like to improve the app’s personalization, by using information of the user’s interaction with the app.
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This item appears in the following Collection(s)
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Han Publications [2253]