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» Maximum Margin Ranking Algorithms for Information Retrieval
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CIKM
2009
Springer
13 years 5 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar
SIGIR
2008
ACM
13 years 7 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
CIKM
2008
Springer
13 years 9 months ago
Ranked feature fusion models for ad hoc retrieval
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Jeremy Pickens, Gene Golovchinsky
MIR
2004
ACM
153views Multimedia» more  MIR 2004»
14 years 1 months ago
Clip-based similarity measure for hierarchical video retrieval
This paper proposes a new approach and algorithm for the similarity measure of video clips. The similarity is mainly based on two bipartite graph matching algorithms: maximum matc...
Yuxin Peng, Chong-Wah Ngo
RIAO
2007
13 years 9 months ago
Capturing Sentence Prior for Query-Based Multi-Document Summarization
In this paper, we have considered a real world information synthesis task, generation of a fixed length multi document summary which satisfies a specific information need. This...
Jagadeesh Jagarlamudi, Prasad Pingali, Vasudeva Va...