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SIGIR
2011
ACM
13 years 1 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
CIKM
2005
Springer
14 years 3 months ago
Person resolution in person search results: WebHawk
Finding information about people on the Web using a search engine is difficult because there is a many-to-many mapping between person names and specific persons (i.e. referents). ...
Xiaojun Wan, Jianfeng Gao, Mu Li, Binggong Ding
CORR
2011
Springer
201views Education» more  CORR 2011»
13 years 1 months ago
On the Weakenesses of Correlation
The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised met...
Paolo D'Alberto, Ali Dasdan
UIST
2010
ACM
13 years 8 months ago
Eddi: interactive topic-based browsing of social status streams
Twitter streams are on overload: active users receive hundreds of items per day, and existing interfaces force us to march through a chronologically-ordered morass to find tweets ...
Michael S. Bernstein, Bongwon Suh, Lichan Hong, Ji...
WEBI
2010
Springer
13 years 8 months ago
How to Improve Your Google Ranking: Myths and Reality
Abstract--Search engines have greatly influenced the way people access information on the Internet as such engines provide the preferred entry point to billions of pages on the Web...
Ao-Jan Su, Y. Charlie Hu, Aleksandar Kuzmanovic, C...