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WWW
2004
ACM
16 years 10 days ago
Semantic web applications to e-science in silico experiments
This paper explains our research and implementations of manual, automatic and deep annotations of provenance logs for e-Science in silico experiments. Compared to annotating gener...
Jun Zhao, Carole A. Goble, Robert Stevens
99
Voted
CIKM
2006
Springer
15 years 3 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
COLING
2010
14 years 6 months ago
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...
CIKM
2009
Springer
15 years 6 months ago
Applying differential privacy to search queries in a policy based interactive framework
Web search logs are of growing importance to researchers as they help understanding search behavior and search engine performance. However, search logs typically contain sensitive...
Palanivel Balaji Kodeswaran, Evelyne Viegas
SIGIR
2012
ACM
13 years 2 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...