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ECIR
2007
Springer
15 years 7 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
WWW
2009
ACM
16 years 6 months ago
Measuring the similarity between implicit semantic relations from the web
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
ICTIR
2009
Springer
16 years 22 days ago
A Quantum-Based Model for Interactive Information Retrieval
Abstract Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it ...
Benjamin Piwowarski, Mounia Lalmas
CLEF
2000
Springer
15 years 10 months ago
Evaluating Interactive Cross-Language Information Retrieval: Document Selection
Abstract. The problem of nding documents that are written in a language that the searcher cannot read is perhaps the most challenging application of Cross-Language Information Retr...
Douglas W. Oard
ICIP
2009
IEEE
16 years 7 months ago
Mean Shift Feature Space Warping For Relevance Feedback
Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental rele...