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» Document generality: its computation for ranking
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WWW
2010
ACM
15 years 2 months ago
Keyword search over key-value stores
Key-value stores (KVSs) are the most prevalent storage systems for large scale web services. As they do not have the structural complexities of RDBMSs, they are more efficient. In...
Arash Termehchy, Marianne Winslett
WWW
2011
ACM
14 years 4 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...
CSDA
2007
136views more  CSDA 2007»
14 years 9 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang
ECIR
2010
Springer
14 years 7 months ago
Query Aspect Based Term Weighting Regularization in Information Retrieval
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...
Wei Zheng, Hui Fang
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne