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» Set-based model: a new approach for information retrieval
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SIGIR
2006
ACM
14 years 1 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...
CORIA
2009
13 years 8 months ago
Aggregated search: From information nuggets to aggregated documents
The aggregated search assembles in one interface information from different sources. It deals with different types of content (text, video, image, etc) and granularities of retriev...
Arlind Kopliku
CIKM
2005
Springer
14 years 1 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan
SIGIR
2006
ACM
14 years 1 months ago
Music structure based vector space retrieval
This paper proposes a novel framework for music content indexing and retrieval. The music structure information, i.e., timing, harmony and music region content, is represented by ...
Namunu Chinthaka Maddage, Haizhou Li, Mohan S. Kan...
ECIR
1998
Springer
13 years 9 months ago
Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...
Hugo Zaragoza, Patrick Gallinari