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» An Ontology-Based Information Retrieval Model
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GPC
2010
Springer
15 years 8 months ago
A Focused Crawler with Ontology-Supported Website Models for Information Agents
This paper advocated the use of ontology-supported website models to provide a semantic level solution for an information agent so that it can provide fast, precise, and stable que...
Sheng-Yuan Yang
SIGIR
2012
ACM
13 years 8 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...
IPM
2007
85views more  IPM 2007»
15 years 6 months ago
A retrospective study of a hybrid document-context based retrieval model
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
SIGIR
2009
ACM
16 years 27 days ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
JCDL
2005
ACM
101views Education» more  JCDL 2005»
15 years 12 months ago
Grid-based digital libraries: cheshire3 and distributed retrieval
The University of California, Berkeley and the University of Liverpool are developing a Information Retrieval and Digital Library system (Cheshire3) that operates in both singlepr...
Ray R. Larson, Robert Sanderson