Diversified Coverage based Tag Recommendation

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Diversified Coverage based Tag Recommendation

Tag recommendation, as a branch of recommendation engine, has drawn more and more attention, which is also extensively exploited in e-commerce and SNS (Social Networking Services). The results generated by the current algorithms could describe the items with a high relevance. However, they are often of poor diversity in the recommended results. That indicates there is a redundancy in the result...

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Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more ‘social’ vision, called Web 2.0. In this context collaborative tagging systems are rapidly emerging as one of the most promising tools. However, as tags are handled in a simply syntactical way, collaborative tagging systems...

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Tagging has rapidly become a popular way to annotate the content on social network sites. Tags describe the contents of the resource or provide additional contextual and semantical information to make the content more easily browsable and discoverable by others. However, as tagging is not constrained by a controlled vocabulary and a certain number of resources have no comments, tags tend to be ...

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Social tagging systems have become increasingly a popular way to organize online heterogeneous resources. Tag recommendation is a key feature of social tagging systems. Many works has been done to solve this hard tag recommendation problem and has got same good results these years. Taking into account the complexity of the tagging actions, there still exist many limitations. In this paper, we p...

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ژورنال

عنوان ژورنال: The Open Automation and Control Systems Journal

سال: 2014

ISSN: 1874-4443

DOI: 10.2174/1874444301406010872