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» Methods for comparing rankings of search engine results
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WWW
2010
ACM
15 years 8 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
ER
2008
Springer
157views Database» more  ER 2008»
15 years 3 months ago
Retune: Retrieving and Materializing Tuple Units for Effective Keyword Search over Relational Databases
The existing approaches of keyword search over relational databases always identify the relationships between tuples on the fly, which are rather inefficient as such relational rel...
Guoliang Li, Jianhua Feng, Lizhu Zhou
WWW
2007
ACM
16 years 2 months ago
Privacy-enhancing personalized web search
Personalized web search is a promising way to improve search quality by customizing search results for people with individual information goals. However, users are uncomfortable w...
Yabo Xu, Ke Wang, Benyu Zhang, Zheng Chen
WWW
2010
ACM
15 years 8 months ago
RankCompete: simultaneous ranking and clustering of web photos
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
WWW
2005
ACM
16 years 2 months ago
Scaling link-based similarity search
To exploit the similarity information hidden in the hyperlink structure of the web, this paper introduces algorithms scalable to graphs with billions of vertices on a distributed ...
Balázs Rácz, Dániel Fogaras