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» Rethinking the Presentation of Results from Web Search
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VLDB
2002
ACM
154views Database» more  VLDB 2002»
14 years 9 months ago
I/O-Conscious Data Preparation for Large-Scale Web Search Engines
Given that commercial search engines cover billions of web pages, efficiently managing the corresponding volumes of disk-resident data needed to answer user queries quickly is a f...
Maxim Lifantsev, Tzi-cker Chiueh
SIGIR
2009
ACM
15 years 4 months ago
The impact of crawl policy on web search effectiveness
Crawl selection policy has a direct influence on Web search effectiveness, because a useful page that is not selected for crawling will also be absent from search results. Yet th...
Dennis Fetterly, Nick Craswell, Vishwa Vinay
WWW
2010
ACM
15 years 5 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
ICGI
2004
Springer
15 years 3 months ago
Learning Node Selecting Tree Transducer from Completely Annotated Examples
Abstract. A base problem in Web information extraction is to find appropriate queries for informative nodes in trees. We propose to learn queries for nodes in trees automatically ...
Julien Carme, Aurélien Lemay, Joachim Niehr...
WWW
2011
ACM
14 years 5 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...