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» Adaptive relevance feedback in information retrieval
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CIKM
2007
Springer
13 years 11 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
CIVR
2008
Springer
173views Image Analysis» more  CIVR 2008»
13 years 7 months ago
Adaptive multiple feedback strategies for interactive video search
In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relev...
Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong...
AMR
2007
Springer
120views Multimedia» more  AMR 2007»
13 years 11 months ago
Searching for Music Using Natural Language Queries and Relevance Feedback
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
Peter Knees, Gerhard Widmer
TREC
2008
13 years 6 months ago
Extending Relevance Model for Relevance Feedback
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users' feedback f...
Le Zhao, Chenmin Liang, Jamie Callan
VIP
2003
13 years 6 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin