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SIGIR
2012
ACM
13 years 4 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
WWW
2010
ACM
15 years 8 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
CIKM
2005
Springer
15 years 7 months ago
ViPER: augmenting automatic information extraction with visual perceptions
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Kai Simon, Georg Lausen
IJDLS
2010
108views more  IJDLS 2010»
14 years 11 months ago
Sampling the Web as Training Data for Text Classification
Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always b...
Wei-Yen Day, Chun-Yi Chi, Ruey-Cheng Chen, Pu-Jen ...
AAAI
2008
15 years 4 months ago
Extracting Relevant Snippets for Web Navigation
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
Qing Li, K. Selçuk Candan, Qi Yan