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» A Bayesian Approach for Learning Document Type Relevance
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APWEB
2010
Springer
13 years 6 months ago
Suggesting Topic-Based Query Terms as You Type
— Query term suggestion that interactively expands the queries is an indispensable technique to help users formulate high-quality queries and has attracted much attention in the ...
Ju Fan, Hao Wu, Guoliang Li, Lizhu Zhou
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 2 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
ACL
2008
13 years 8 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
FLAIRS
2008
13 years 9 months ago
Unsupervised Approach for Selecting Sentences in Query-based Summarization
When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire docume...
Yllias Chali, Shafiq R. Joty
ICML
2003
IEEE
14 years 7 months ago
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
Yi Zhang, Wei Xu, James P. Callan