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» Evaluation of User Reputation on YouTube
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MIR
2010
ACM
163views Multimedia» more  MIR 2010»
13 years 9 months ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
IIR
2010
13 years 8 months ago
An IR-Based Approach for Tag Recommendation
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 `soci...
Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...
CSE
2009
IEEE
13 years 5 months ago
The Use of Online Videos in the 2008 U.S. Congressional Elections
With 39% of Americans admitting the use of the Web to get unfiltered campaign materials, it becomes important to evaluate how they are searching for these materials and what they a...
Eni Mustafaraj, Panagiotis Takis Metaxas, Catherin...
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 4 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
HCI
2009
13 years 5 months ago
User Reputation Evaluation Using Co-occurrence Feature and Collective Intelligence
It becomes more difficult to find valuable contents in the Web 2.0 environment since lots of inexperienced users provide many unorganized contents. In the previous researches, peop...
Jeong-Won Cha, Hyun-woo Lee, Yo-Sub Han, Laehyun K...