126 search results - page 16 / 26 » Improving heuristic mini-max search by supervised learning |
158
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SIGIR
2008
ACM
15 years 6 months ago
2008
ACM
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
200
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CIKM
2009
Springer
16 years 1 months ago
2009
Springer
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
173
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CIKM
2010
Springer
15 years 4 months ago
2010
Springer
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
177
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GECCO
2007
Springer
16 years 23 days ago
2007
Springer
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
187
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WWW
2008
ACM
16 years 7 months ago
2008
ACM
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...