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SIGIR
2012
ACM
13 years 10 days 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
2007
ACM
15 years 10 months ago
Answering relationship queries on the web
Finding relationships between entities on the Web, e.g., the connections between different places or the commonalities of people, is a novel and challenging problem. Existing Web ...
Gang Luo, Chunqiang Tang, Ying-li Tian
PLDI
2009
ACM
15 years 4 months ago
Staged information flow for javascript
Modern websites are powered by JavaScript, a flexible dynamic scripting language that executes in client browsers. A common paradigm in such websites is to include third-party Ja...
Ravi Chugh, Jeffrey A. Meister, Ranjit Jhala, Sori...
WWW
2001
ACM
15 years 10 months ago
IEPAD: information extraction based on pattern discovery
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
Chia-Hui Chang, Shao-Chen Lui
IUI
2011
ACM
14 years 24 days ago
Predicting and compensating for lexicon access errors
Learning a foreign language is a long, error-prone process, and much of a learner’s time is effectively spent studying vocabulary. Many errors occur because words are only partl...
Lars Yencken, Timothy Baldwin