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» Adaptive relevance feedback in information retrieval
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CORR
2011
Springer
173views Education» more  CORR 2011»
13 years 3 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker
IPM
2006
108views more  IPM 2006»
13 years 8 months ago
Using searcher simulations to redesign a polyrepresentative implicit feedback interface
Information seeking is traditionally conducted in environments where search results are represented at the user interface by a minimal amount of meta-information such as titles an...
Ryen W. White
SIGIR
2005
ACM
14 years 2 months ago
The loquacious user: a document-independent source of terms for query expansion
In this paper we investigate the effectiveness of a documentindependent technique for eliciting feedback from users about their information problems. We propose that such a techni...
Diane Kelly, Vijay Deepak Dollu, Xin Fu
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 2 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
CIVR
2004
Springer
166views Image Analysis» more  CIVR 2004»
14 years 2 months ago
Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval
Abstract. A novel approach to object-based video indexing and retrieval is presented, employing an object segmentation algorithm for the real-time, unsupervised segmentation of com...
Vasileios Mezaris, Michael G. Strintzis