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» Using Induction to Refine Information Retrieval Strategies
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WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
12 years 3 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
GROUP
2005
ACM
14 years 1 months ago
Searching for expertise in social networks: a simulation of potential strategies
People search for people with suitable expertise all of the time in their social networks – to answer questions or provide help. Recently, efforts have been made to augment this...
Jun Zhang, Mark S. Ackerman
EMNLP
2006
13 years 9 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner
COLING
2008
13 years 9 months ago
Bayes Risk-based Dialogue Management for Document Retrieval System with Speech Interface
We propose an efficient dialogue management for an information navigation system based on a document knowledge base with a spoken dialogue interface. In order to perform robustly ...
Teruhisa Misu, Tatsuya Kawahara
WSDM
2010
ACM
259views Data Mining» more  WSDM 2010»
14 years 5 months ago
Revisiting Globally Sorted Indexes for Efficient Document Retrieval
There has been a large amount of research on efficient document retrieval in both IR and web search areas. One important technique to improve retrieval efficiency is early termina...
Fan Zhang, Shuming Shi, Hao Yan, Ji-Rong Wen