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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 7 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 6 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 6 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
CVPR
2010
IEEE
16 years 2 months ago
Tag-based Web Photo Retrieval Improved by Batch Mode Re-Tagging
Web photos in social media sharing websites such as Flickr are generally accompanied by rich but noisy textual descriptions (tags, captions, categories, etc.). In this paper, we p...
Lin Chen, Dong Xu, Wai-Hung Tsang, Jiebo Luo
EDBT
2010
ACM
206views Database» more  EDBT 2010»
16 years 1 months ago
Efficient computation of trade-off skylines
When selecting alternatives from large amounts of data, trade-offs play a vital role in everyday decision making. In databases this is primarily reflected by the top-k retrieval p...
Christoph Lofi, Ulrich Güntzer, Wolf-Tilo Bal...