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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 4 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
15 years 4 days ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
MM
2003
ACM
113views Multimedia» more  MM 2003»
15 years 7 months ago
R-Histogram: quantitative representation of spatial relations for similarity-based image retrieval
Representation of relative spatial relations between objects is required in many multimedia database applications. Quantitative representation of spatial relations taking into acc...
Yuhang Wang, Fillia Makedon
SEMWEB
2005
Springer
15 years 7 months ago
Oyster - Sharing and Re-using Ontologies in a Peer-to-Peer Community
In this poster, we present Oyster, a Peer-to-Peer system for exchanging ontology metadata among communities in the Semantic Web. Oyster exploits semantic web techniques in data re...
Raúl Palma, Peter Haase
SIGIR
2008
ACM
15 years 1 months ago
Efficient top-k querying over social-tagging networks
Online communities have become popular for publishing and searching content, as well as for finding and connecting to other users. User-generated content includes, for example, pe...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Sebast...