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http://dx.doi.org/10.9709/JKSS.2010.19.1.083

Improving the Performance of the User Creative Contents Retrieval Using Content Reputation and User Reputation  

Bae, Won-Sik (창원대학교 컴퓨터공학과)
Cha, Jeong-Won (창원대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Society for Simulation / v.19, no.1, 2010 , pp. 83-90 More about this Journal
Abstract
We describe a novel method for improving the performance of the UCC retrieval using content reputation and user reputation. The UCC retrieval is a part of the information retrieval. The goal of the information retrieval system finds documents what users want, so the goal of the UCC retrieval system tries to find UCCs themselves instead of documents. Unlike the document, the UCC has not enough textual information. Therefore, we try to use the content reputation and the user reputation based on non-textual information to gain improved retrieval performance. We evaluate content reputation using the information of the UCC itself and social activities between users related with UCCs. We evaluate user reputation using individual social activities between users or users and UCCs. We build a network with users and UCCs from social activities, and then we can get the user reputation from the network by graph algorithms. We collect the information of users and UCCs from YouTube and implement two systems using content reputation and user reputation. And then we compare two systems. From the experiment results, we can see that the system using content reputation outperforms than the system using user reputation. This result is expected to use the UCC retrieval in the feature.
Keywords
UCC; Information Retrieval; Social Activity; Content Reputation; User Reputation;
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Times Cited By KSCI : 1  (Citation Analysis)
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