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» Learning to rank for information retrieval
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DGO
2003
233views Education» more  DGO 2003»
15 years 7 months ago
SemView: A Semantic-sensitive Distributed Image Retrieval System
State-of-art image retrieval techniques have been developed to support high-level (semantics) querying and browsing of images. For certain user queries, it is also very important ...
Wei Wang, Yimin Wu, Aidong Zhang
SIGIR
2005
ACM
15 years 12 months ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 12 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
ICWSM
2008
15 years 7 months ago
Document Representation and Query Expansion Models for Blog Recommendation
We explore several different document representation models and two query expansion models for the task of recommending blogs to a user in response to a query. Blog relevance rank...
Jaime Arguello, Jonathan L. Elsas, Jamie Callan, J...
PDPTA
1996
15 years 7 months ago
Document Retrieval Performance on Parallel Systems
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is de ned a...
David Hawking