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WWW
2009
ACM
16 years 7 months ago
Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices
We present a logs-based comparison of search patterns across three platforms: computers, iPhones and conventional mobile phones. Our goal is to understand how mobile search users ...
Maryam Kamvar, Melanie Kellar, Rajan Patel, Ya Xu
WWW
2008
ACM
16 years 7 months ago
Defection detection: predicting search engine switching
Searchers have a choice about which Web search engine they use when looking for information online. If they are unsuccessful on one engine, users may switch to a different engine ...
Allison P. Heath, Ryen W. White
CIKM
2010
Springer
15 years 4 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
PVLDB
2010
120views more  PVLDB 2010»
15 years 4 months ago
EXTRUCT: Using Deep Structural Information in XML Keyword Search
Users who are unfamiliar with database query languages can search XML data sets using keyword queries. Previous work has shown that current XML keyword search methods, although in...
Arash Termehchy, Marianne Winslett
WWW
2005
ACM
16 years 7 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