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ICML
2010
IEEE
15 years 7 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet
WSDM
2010
ACM
1328views Data Mining» more  WSDM 2010»
16 years 3 months ago
TwitterRank: Finding Topic-sensitive Influential Twitterers
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networkin...
Jianshu Weng, Ee-peng Lim, Jing Jiang, Qi He
SAC
2010
ACM
16 years 1 months ago
Hypothesis generation and ranking based on event similarities
Accelerated by the technological advances in the domain, the size of the biomedical literature has been growing rapidly. As a result, it is not feasible for individual researchers...
Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara
RECSYS
2009
ACM
16 years 22 days ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
Benjamin M. Marlin, Richard S. Zemel
CVPR
2010
IEEE
15 years 12 months ago
Image Retrieval via Probabilistic Hypergraph Ranking
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...
Yuchi Huang, Qingshan Liu, Shaoting Zhang, Metaxas...