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CIKM
2008
Springer
13 years 11 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 10 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
MOBIDE
2005
ACM
14 years 3 months ago
Towards universal mobile caching
In the context of mobile data access, data caching is fundamental for both performance and functionality. For this reason there have been many studies into developing energy-effi...
Ganesh Santhanakrishnan, Ahmed Amer, Panos K. Chry...
DKE
2007
153views more  DKE 2007»
13 years 9 months ago
Adaptive similarity search in streaming time series with sliding windows
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
CIKM
2010
Springer
13 years 8 months ago
Clickthrough-based translation models for web search: from word models to phrase models
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
Jianfeng Gao, Xiaodong He, Jian-Yun Nie