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» Parallel learning to rank for information retrieval
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SIGIR
2009
ACM
14 years 2 months ago
Compressing term positions in web indexes
Large search engines process thousands of queries per second on billions of pages, making query processing a major factor in their operating costs. This has led to a lot of resear...
Hao Yan, Shuai Ding, Torsten Suel
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
WSDM
2010
ACM
251views Data Mining» more  WSDM 2010»
14 years 5 months ago
Large Scale Query Log Analysis of Re-Finding
Although Web search engines are targeted towards helping people find new information, people regularly use them to re-find Web pages they have seen before. Researchers have noted ...
Jaime Teevan, Sarah K. Tyler
SIGMOD
2010
ACM
231views Database» more  SIGMOD 2010»
14 years 13 days ago
Automatically incorporating new sources in keyword search-based data integration
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
KDD
2010
ACM
289views Data Mining» more  KDD 2010»
13 years 5 months ago
Exploitation and exploration in a performance based contextual advertising system
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
Wei Li 0010, Xuerui Wang, Ruofei Zhang, Ying Cui, ...