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» RSS: A framework enabling ranked search on the semantic web
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SIGIR
2012
ACM
11 years 7 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...
NIPS
2007
13 years 6 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...
WWW
2004
ACM
14 years 5 months ago
Towards Semantic Web Portals
A web portal is a platform for information presentation and information exchange over the Internet in a community of interest. Conventional web technologies used in web portals pr...
Dieter Fensel, Holger Lausen, Michael Stollberg, R...
DAWAK
2001
Springer
13 years 9 months ago
Discovering Web Document Associations for Web Site Summarization
Complex web information structures prevent search engines from providing satisfactory context-sensitive retrieval. We see that in order to overcome this obstacle, it is essential t...
K. Selçuk Candan, Wen-Syan Li
CIKM
2010
Springer
13 years 3 months ago
From exploratory search to web search and back
The power of search is with no doubt one of the main aspects for the success of the Web. Currently available search engines on the Web allow to return results with a high precisio...
Roberto Mirizzi, Tommaso Di Noia