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» Smoothing clickthrough data for web search ranking
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ICML
1998
IEEE
15 years 10 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
WWW
2007
ACM
15 years 10 months ago
Extraction and search of chemical formulae in text documents on the web
Often scientists seek to search for articles on the Web related to a particular chemical. When a scientist searches for a chemical formula using a search engine today, she gets ar...
Bingjun Sun, Qingzhao Tan, Prasenjit Mitra, C. Lee...
SIGIR
2012
ACM
13 years 3 days ago
Improving searcher models using mouse cursor activity
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
Jeff Huang, Ryen W. White, Georg Buscher, Kuansan ...
IJCAI
2003
14 years 11 months ago
Personalisation of Web Search
The availability of web search has revolutionised the way people discover information, yet as search services maintain larger and larger indexes they are in danger of becoming a v...
Kevin Keenoy, Mark Levene
90
Voted
CIKM
2011
Springer
13 years 9 months ago
Improved answer ranking in social question-answering portals
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
Felix Hieber, Stefan Riezler