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» Using Information Extraction to Improve Document Retrieval
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CIVR
2007
Springer
16 years 19 days ago
Semantics reinforcement and fusion learning for multimedia streams
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
Dhiraj Joshi, Milind R. Naphade, Apostol Natsev
WWW
2003
ACM
16 years 7 months ago
Piazza: data management infrastructure for semantic web applications
The Semantic Web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. To this point, researchers have defined new l...
Alon Y. Halevy, Zachary G. Ives, Peter Mork, Igor ...
MIR
2006
ACM
162views Multimedia» more  MIR 2006»
16 years 13 days ago
Dynamic similarity search in multi-metric spaces
An important research issue in multimedia databases is the retrieval of similar objects. For most applications in multimedia databases, an exact search is not meaningful. Thus, mu...
Benjamin Bustos, Tomás Skopal
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
16 years 6 months ago
To search or to crawl?: towards a query optimizer for text-centric tasks
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
SIGIR
2009
ACM
16 years 29 days ago
Good abandonment in mobile and PC internet search
Query abandonment by search engine users is generally considered to be a negative signal. In this paper, we explore the concept of good abandonment. We define a good abandonment ...
Jane Li, Scott B. Huffman, Akihito Tokuda