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» Interactive Object-Based Retrieval Using Relevance Feedback
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ECIR
2007
Springer
13 years 9 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001
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
INEX
2005
Springer
14 years 1 months ago
TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback
Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensi...
Vojkan Mihajlovic, Georgina Ramírez, Thijs ...
ICCV
2011
IEEE
12 years 8 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
TREC
2000
13 years 9 months ago
Question Answering, Relevance Feedback and Summarisation: TREC-9 Interactive Track Report
In this paper we report on the effectiveness of query-biased summaries for a question-answering task. Our summarisation system presents searchers with short summaries of documents...
Neill Alexander, Craig Brown, Joemon M. Jose, Ian ...