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AAAI
2008
13 years 11 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
LWA
2007
13 years 10 months ago
The Effectiveness of Concept Based Search for Video Retrieval
In this paper we investigate how a small number of high-level concepts derived for video shots, such as Sports, Face, Indoor, etc., can be used effectively for ad hoc search in vi...
Claudia Hauff, Robin Aly, Djoerd Hiemstra
SIGIR
2008
ACM
13 years 8 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
IR
2007
13 years 8 months ago
An empirical study of tokenization strategies for biomedical information retrieval
Due to the great variation of biological names in biomedical text, appropriate tokenization is an important preprocessing step for biomedical information retrieval. Despite its im...
Jing Jiang, ChengXiang Zhai
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
14 years 8 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano