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» Using Document Dimensions for Enhanced Information Retrieval
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SIGIR
2009
ACM
15 years 11 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang
VR
2000
IEEE
131views Virtual Reality» more  VR 2000»
15 years 9 months ago
Enhancing Fish Tank VR
Fish tank VR systems provide head coupled perspective projected stereo images on a display device of limited dimensions that resides at a fixed location. Therefore, fish tank VR...
Jurriaan D. Mulder, Robert van Liere
SIGMOD
2008
ACM
122views Database» more  SIGMOD 2008»
16 years 4 months ago
Building query optimizers for information extraction: the SQoUT project
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
Alpa Jain, Panagiotis G. Ipeirotis, Luis Gravano
CIKM
2008
Springer
15 years 6 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
136
Voted
SIGIR
1999
ACM
15 years 9 months ago
Summarizing Text Documents: Sentence Selection and Evaluation Metrics
Human-quality text summarization systems are di cult to design, and even more di cult to evaluate, in part because documents can di er along several dimensions, such as length, wri...
Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, ...