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WWW
2011
ACM
13 years 2 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
WWW
2009
ACM
14 years 8 months ago
Combining anchor text categorization and graph analysis for paid link detection
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov
WWW
2005
ACM
14 years 8 months ago
SemRank: ranking complex relationship search results on the semantic web
While the idea that querying mechanisms for complex relationships (otherwise known as Semantic Associations) should be integral to Semantic Web search technologies has recently ga...
Kemafor Anyanwu, Angela Maduko, Amit P. Sheth
AIPS
2010
13 years 7 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
AAAI
1998
13 years 8 months ago
Boosting Combinatorial Search Through Randomization
Unpredictability in the running time of complete search procedures can often be explained by the phenomenon of "heavy-tailed cost distributions", meaning that at any tim...
Carla P. Gomes, Bart Selman, Henry A. Kautz