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» Learning to rank for information retrieval
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ICWE
2010
Springer
15 years 11 months ago
Ranking the Linked Data: The Case of DBpedia
The recent proliferation of crowd computing initiatives on the web calls for smarter methodologies and tools to annotate, query and explore repositories. There is the need for scal...
Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, ...
KDD
2010
ACM
286views Data Mining» more  KDD 2010»
15 years 4 months ago
Nonnegative shared subspace learning and its application to social media retrieval
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
ASUNAM
2009
IEEE
16 years 1 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
CIVR
2008
Springer
245views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Probabilistic optimized ranking for multimedia semantic concept detection via RVM
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
Yantao Zheng, Shi-Yong Neo, Tat-Seng Chua, Qi Tian
JCDL
2004
ACM
170views Education» more  JCDL 2004»
15 years 12 months ago
Looking for new, not known music only: music retrieval by melody style
With the growth of digital music, content-based music retrieval (CBMR) has attracted increasingly attention. For most CBMR systems, the task is to return music objects similar to ...
Fang-Fei Kuo, Man-Kwan Shan