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» Comparing relevance feedback algorithms for web search
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CIKM
2011
Springer
12 years 7 months ago
Learning to aggregate vertical results into web search results
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results. The task requires predicting...
Jaime Arguello, Fernando Diaz, Jamie Callan
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
14 years 2 months ago
Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
Edgar Meij, Maarten de Rijke
DSS
2008
186views more  DSS 2008»
13 years 7 months ago
A machine learning approach to web page filtering using content and structure analysis
As the Web continues to grow, it has become increasingly difficult to search for relevant information using traditional search engines. Topic-specific search engines provide an al...
Michael Chau, Hsinchun Chen
WWW
2010
ACM
14 years 2 months ago
Automatic extraction of clickable structured web contents for name entity queries
Today the major web search engines answer queries by showing ten result snippets, which need to be inspected by users for identifying relevant results. In this paper we investigat...
Xiaoxin Yin, Wenzhao Tan, Xiao Li, Yi-Chin Tu
WWW
2010
ACM
14 years 2 months ago
SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement
We consider the problem of deep web source selection and argue that existing source selection methods are inadequate as they are based on local similarity assessment. Specificall...
Raju Balakrishnan, Subbarao Kambhampati