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» Exploiting site-level information to improve web search
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WWW
2010
ACM
16 years 1 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
CIKM
2004
Springer
15 years 11 months ago
Local methods for estimating pagerank values
The Google search engine uses a method called PageRank, together with term-based and other ranking techniques, to order search results returned to the user. PageRank uses link ana...
Yen-Yu Chen, Qingqing Gan, Torsten Suel
INFOCOM
2003
IEEE
15 years 11 months ago
Associative Search in Peer to Peer Networks: Harnessing Latent Semantics
— The success of a P2P file-sharing network highly depends on the scalability and versatility of its search mechanism. Two particularly desirable search features are scope (abil...
Edith Cohen, Amos Fiat, Haim Kaplan
WWW
2008
ACM
16 years 6 months ago
Keysurf: a character controlled browser for people with physical disabilities
For many users with a physical or motor disability, using a computer mouse or other pointing device to navigate the web is cumbersome or impossible due to problems with pointing a...
Leo Spalteholz, Kin Fun Li, Nigel Livingston, Foad...
SAC
2006
ACM
16 years 2 days ago
Imprecise RDQL: towards generic retrieval in ontologies using similarity joins
Traditional semantic web query languages support a logicbased access to the semantic web. They offer a retrieval (or reasoning) of data based on facts. On the traditional web and...
Abraham Bernstein, Christoph Kiefer