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» Learning to rank with partially-labeled data
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SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
16 years 2 months ago
DataLens: making a good first impression
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
Bin Liu, H. V. Jagadish
ICDE
2008
IEEE
146views Database» more  ICDE 2008»
16 years 3 months ago
Explaining and Reformulating Authority Flow Queries
Authority flow is an effective ranking mechanism for answering queries on a broad class of data. Systems have been developed to apply this principle on the Web (PageRank and topic ...
Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa...
CIKM
2008
Springer
15 years 3 months ago
SHOPSMART: product recommendations through technical specifications and user reviews
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
ESANN
2008
15 years 3 months ago
Phase transitions in Vector Quantization
Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
Aree Witoelar, Anarta Ghosh, Michael Biehl
ECCV
2010
Springer
15 years 4 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...