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» A System for Adaptive Information Retrieval
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SIGIR
2012
ACM
13 years 10 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
SIGMOD
2009
ACM
144views Database» more  SIGMOD 2009»
16 years 8 months ago
Do we mean the same?: disambiguation of extracted keyword queries for database search
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an...
Elena Demidova, Irina Oelze, Peter Fankhauser
SIGIR
2008
ACM
15 years 7 months ago
On profiling blogs with representative entries
With an explosive growth of blogs, information seeking in blogosphere becomes more and more challenging. One example task is to find the most relevant topical blogs against a give...
Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 8 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
GIS
2008
ACM
16 years 8 months ago
GISolve toolkit: advancing GIS through cyberinfrastructure
Cyberinfrastructure integrates information and communication technologies to enable high-performance, distributed, and collaborative knowledge discovery, and promises to revolutio...
Shaowen Wang