Results 271 to 280 of about 1,130,991 (283)

Relevance Feedback Using Weight Propagation

2006
A new Relevance Feedback (RF) technique is developed to improve upon the efficiency and performance of existing techniques. This is based on propagating positive and negative weights from documents judged relevant and not relevant respectively, to other documents, which are deemed similar according to one of a number of criteria.
Fadi Yamout, Michael Oakes, John Tait
openaire   +1 more source

Relevance Feedback

2011
openaire   +2 more sources

Relevance Feedback

2009
openaire   +1 more source

Relevance Feedback

2017
openaire   +1 more source

Relevance Feedback Learning

2012
openaire   +1 more source

Automatic Relevance Feedback

2006
openaire   +1 more source

Web Search Relevance Feedback

2009
Hui Fang, Cheng Xiang Zhai
openaire   +1 more source

Optimization of relevance feedback weights

Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95, 1995
Chris Buckley, Gerard Salton
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Web Search Relevance Feedback

2011
openaire   +1 more source

Relevance Feedback and Query Expansion

2017
Donald H. Kraft, Erin Colvin
openaire   +1 more source