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CHI
1997
ACM
15 years 10 months ago
Cognitive Modeling Reveals Menu Search is Both Random and Systematic
To understand how people search for a known target item in an unordered pull-down menu, this research presents cognitive models that vary serial versus parallel processing of menu...
Anthony J. Hornof, David E. Kieras
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
15 years 3 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung
SISAP
2008
IEEE
130views Data Mining» more  SISAP 2008»
16 years 21 days ago
The Many Facets of Approximate Similarity Search
In this article, we review the major paradigms for approximate similarity queries and propose a classification schema that easily allows existing approaches to be compared along ...
Marco Patella, Paolo Ciaccia
CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes
CIKM
2009
Springer
16 years 27 days ago
Location cache for web queries
This paper proposes a strategy to reduce the amount of hardware involved in the solution of search engine queries. It proposes using a secondary compact cache that keeps minimal i...
Mauricio Marín, Flavio Ferrarotti, Marcelo ...