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» Directly optimizing evaluation measures in learning to rank
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ICPR
2008
IEEE
15 years 4 months ago
Learning combined similarity measures from user data for image retrieval
Image retrieval has become an interesting and active field due to the increasing necessity of searching and browsing very large image repositories. Images are represented using s...
Miguel Arevalillo-Herráez, Francesc J. Ferr...
95
Voted
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
14 years 7 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
86
Voted
ECML
2004
Springer
15 years 1 months ago
Naive Bayesian Classifiers for Ranking
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
Harry Zhang, Jiang Su
SIGIR
2008
ACM
14 years 9 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
ACL
2012
13 years 3 days ago
Joint Learning of a Dual SMT System for Paraphrase Generation
SMT has been used in paraphrase generation by translating a source sentence into another (pivot) language and then back into the source. The resulting sentences can be used as can...
Hong Sun, Ming Zhou