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NIPS
2007
13 years 7 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
IC
2003
13 years 7 months ago
An Analysis of Web Documents Retrieved and Viewed
The placement of Websites in ranked retrieval and the viewing patterns of Web search engine users is a crucial issue for Web site owners and Web search engines. However, little la...
Bernard J. Jansen, Amanda Spink
WWW
2007
ACM
14 years 6 months ago
Determining the user intent of web search engine queries
Determining the user intent of Web searches is a difficult problem due to the sparse data available concerning the searcher. In this paper, we examine a method to determine the us...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
JMLR
2008
144views more  JMLR 2008»
13 years 5 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 5 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...