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» Maximum Margin Ranking Algorithms for Information Retrieval
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CIKM
2009
Springer
13 years 11 months ago
Answer typing for information retrieval
Answer typing is commonly thought of as finding appropriate responses to given questions. We extend the notion of answer typing to information retrieval to ensure results contain...
Christopher Pinchak, Davood Rafiei, Dekang Lin
IKE
2003
13 years 9 months ago
A Tree-Based inverted File for Fast Ranked-Document Retrieval
Inverted files are widely used to index documents in large-scale information retrieval systems. An inverted file consists of posting lists, which can be stored in either a documen...
Wann-Yun Shieh, Tien-Fu Chen, Chung-Ping Chung
SIGIR
2006
ACM
14 years 1 months ago
Improving web search ranking by incorporating user behavior information
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
Eugene Agichtein, Eric Brill, Susan T. Dumais
CIKM
2010
Springer
13 years 6 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
CIKM
2008
Springer
13 years 9 months ago
CE2: towards a large scale hybrid search engine with integrated ranking support
The Web contains a large amount of documents and increasingly, also semantic data in the form of RDF triples. Many of these triples are annotations that are associated with docume...
Haofen Wang, Thanh Tran, Chang Liu