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» Combining content extraction heuristics: the CombinE system
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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 5 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
IR
2006
13 years 5 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum
CIKM
1999
Springer
13 years 9 months ago
Training a Selection Function for Extraction
In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence ...
Chin-Yew Lin
HPCA
2011
IEEE
12 years 9 months ago
Bloom Filter Guided Transaction Scheduling
Contention management is an important design component to a transactional memory system. Without effective contention management to ensure forward progress, a transactional memory...
Geoffrey Blake, Ronald G. Dreslinski, Trevor N. Mu...
DRR
2009
13 years 2 months ago
Figure content analysis for improved biomedical article retrieval
Biomedical images are invaluable in medical education and establishing clinical diagnosis. Clinical decision support (CDS) can be improved by combining biomedical text with automa...
Daekeun You, Emilia Apostolova, Sameer Antani, Din...