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JCIT
2007
91views more  JCIT 2007»
14 years 10 months ago
A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine
Internet search engines identify web pages that contain user-specified keywords, and then rank these pages according to their (heuristically assessed) relevance to the user’s qu...
Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
SIGMOD
2009
ACM
189views Database» more  SIGMOD 2009»
15 years 10 months ago
Generic and effective semi-structured keyword search
Current semi-structured keyword search and natural language query processing systems use ad hoc approaches to take advantage of structural information. Although intuitive, they ar...
Arash Termehchy, Marianne Winslett
79
Voted
EMNLP
2009
14 years 8 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
SIGECOM
2005
ACM
93views ECommerce» more  SIGECOM 2005»
15 years 4 months ago
Ranking systems: the PageRank axioms
This paper initiates research on the foundations of ranking systems, a fundamental ingredient of basic e-commerce and Internet Technologies. In order to understand the essence and...
Alon Altman, Moshe Tennenholtz
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...