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» Automatic Learners with Feedback Queries
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AMR
2007
Springer
120views Multimedia» more  AMR 2007»
14 years 1 months ago
Searching for Music Using Natural Language Queries and Relevance Feedback
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
Peter Knees, Gerhard Widmer
SIGIR
1998
ACM
13 years 11 months ago
Improving Automatic Query Expansion
Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via adhoc feedback improves the retrieval e ectiveness of such ...
Mandar Mitra, Amit Singhal, Chris Buckley
JSS
2008
217views more  JSS 2008»
13 years 7 months ago
MUSEMBLE: A novel music retrieval system with automatic voice query transcription and reformulation
So far, many researches have been done to develop efficient music retrieval systems, and query-by-humming has been considered as one of the most intuitive and effective query meth...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 1 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
CIARP
2004
Springer
14 years 24 days ago
Advanced Relevance Feedback Query Expansion Strategy for Information Retrieval in MEDLINE
MEDLINE is a very large database of abstracts of research papers in medical domain, maintained by the National Library of Medicine. Documents in MEDLINE are supplied with manually ...
Kwangcheol Shin, Sang-Yong Han, Alexander F. Gelbu...