Matches in ScholarlyData for { ?s ?p ?o. }
- 176 label "Characterizing Web-based Video Sharing Workloads".
- 176 sameAs 176.
- 176 abstract "".
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- 176 isPartOf proceedings.
- 176 keyword "Poster Session".
- 176 title "Characterizing Web-based Video Sharing Workloads".
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- item-1 hasContent siddharth-mitra.
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- 177 type InProceedings.
- 177 label "Deriving Music Theme Annotations from User Tags".
- 177 sameAs 177.
- 177 abstract "Music theme annotations would be really beneficial for supporting retrieval, but are often neglected by users while annotating. Thus, in order to support users in tagging and to fill the gaps in the tag space, in this paper we develop algorithms for recommending theme annotations. Our methods exploit already existing user tags, the lyrics of music tracks, as well as combinations of both. We compare the results for our recommended theme annotations against genre and style recommendations – a much easier and already studied task. We evaluate the quality of our recommended tags against an expert ground truth data set. Our results are promising and provide interesting insights into possible extensions for music tagging systems to support music search.".
- 177 hasAuthorList authorList.
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- 177 keyword "Poster Session".
- 177 title "Deriving Music Theme Annotations from User Tags".
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- item-1 hasContent kerstin-bischoff.
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- item-3 hasContent raluca-paiu.
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- 178 type InProceedings.
- 178 label "Tag-Oriented Document Summarization".
- 178 sameAs 178.
- 178 abstract "Social annotations on a Web document are highly generalized description of topics contained in that page. Their tagged frequency indicates the user attentions with various degrees. This makes annotations a good resource for summarizing multiple topics in a Web page. In this paper, we present a tag-oriented Web document summarization approach by using both document content and the tags annotated on that document. To improve summarization performance, a new tag ranking algorithm named EigenTag is proposed in this paper to reduce noise in tags. Meanwhile, association mining technique is employed to expand tag set to tackle the sparsity problem. Experimental results show our tag-oriented summarization has a significant improvement over those not using tags.".
- 178 hasAuthorList authorList.
- 178 isPartOf proceedings.
- 178 keyword "Poster Session".
- 178 title "Tag-Oriented Document Summarization".
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- item-1 hasContent junyan-zhu.
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- item-5 hasContent chun-chen.
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