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CISST
2004
164views Hardware» more  CISST 2004»
13 years 10 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ECIR
2004
Springer
13 years 10 months ago
A Study of the Assessment of Relevance for the INEX'02 Test Collection
We investigate possible assessment trends and inconsistencies within the collected relevance assessments of the INEX'02 test collection in order to provide a critical analysis...
Gabriella Kazai, Sherezad Masood, Mounia Lalmas
PVLDB
2008
134views more  PVLDB 2008»
13 years 8 months ago
Reasoning and identifying relevant matches for XML keyword search
Keyword search is a user-friendly mechanism for retrieving XML data in web and scientific applications. An intuitively compelling but vaguely defined goal is to identify matches t...
Ziyang Liu, Yi Chen
CIKM
2009
Springer
14 years 3 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
SIGIR
2005
ACM
14 years 2 months ago
Combining eye movements and collaborative filtering for proactive information retrieval
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
Kai Puolamäki, Jarkko Salojärvi, Eerika ...