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» SNDocRank: document ranking based on social networks
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WWW
2010
ACM
11 years 1 months ago
SNDocRank: document ranking based on social networks
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
11 years 3 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...
JCDL
2010
ACM
187views Education» more  JCDL 2010»
11 years 3 months ago
Social network document ranking
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-H...
ICDM
2007
IEEE
182views Data Mining» more  ICDM 2007»
11 years 7 months ago
Co-ranking Authors and Documents in a Heterogeneous Network
The problem of evaluating scientific publications and their authors is important, and as such has attracted increasing attention. Recent graph-theoretic ranking approaches have d...
Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. ...
ASUNAM
2009
IEEE
11 years 8 months ago
Harnessing Wisdom of the Crowds Dynamics for Time-Dependent Reputation and Ranking
—The “wisdom of the crowds” is a concept used to describe the utility of harnessing group behaviour, where user opinion evolves over time and the opinion of the masses collec...
Elizabeth M. Daly
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