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» Adaptive relevance feedback in information retrieval
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CIKM
2008
Springer
13 years 10 months ago
Using the current browsing context to improve search relevance
In this paper, we investigate the problem of improving the relevance of a Web search engine by adapting it to the dynamic needs of the user. We examine a representative case of su...
Mandar Rahurkar, Silviu Cucerzan
MTA
2006
218views more  MTA 2006»
13 years 8 months ago
Object-based MPEG-2 video indexing and retrieval in a collaborative environment
In this paper, an object-based video retrieval methodology for search in large, heterogeneous video collections is presented. The proposed approach employs a real-time, compressed-...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
SIGIR
2009
ACM
14 years 3 months ago
Approximating true relevance distribution from a mixture model based on irrelevance data
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
Peng Zhang, Yuexian Hou, Dawei Song
ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Interactive Clustering of Video Segments for Media Structuring
Structuring video data is necessary for its effective retrieval and summarization. In particular, collecting similar scenes from semantic aspects highly contributes to the structu...
Yukihiro Kinoshita, Naoko Nitta, Noboru Babaguchi
SIGIR
2009
ACM
14 years 3 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...