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» Learning to Distribute Queries into Web Search Nodes
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131
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 8 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
97
Voted
WEBI
2009
Springer
15 years 7 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
128
Voted
ATAL
2003
Springer
15 years 4 months ago
Using web helper agent profiles in query generation
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...
Gabriel Somlo, Adele E. Howe
DMSN
2005
ACM
15 years 2 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...
111
Voted
SIGIR
2010
ACM
15 years 4 months ago
The demographics of web search
How does the web search behavior of “rich” and “poor” people differ? Do men and women tend to click on different results for the same query? What are some queries almost...
Ingmar Weber, Carlos Castillo