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» Why we search: visualizing and predicting user behavior
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EUROMICRO
2004
IEEE
13 years 11 months ago
An Experimental Framework for Testing Web Prefetching Techniques
The popularity of web objects, and by extension the popularity of the web sites, besides the appearance of clear footprints in user's accesses that show a considerable spatia...
Josep Domènech, Ana Pont, Julio Sahuquillo,...
HT
2010
ACM
14 years 23 days ago
Of categorizers and describers: an evaluation of quantitative measures for tagging motivation
While recent research has advanced our understanding about the structure and dynamics of social tagging systems, we know little about (i) the underlying motivations for tagging (w...
Christian Körner, Roman Kern, Hans-Peter Grah...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 3 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
CHI
2009
ACM
14 years 8 months ago
Ephemeral adaptation: the use of gradual onset to improve menu selection performance
We introduce ephemeral adaptation, a new adaptive GUI technique that improves performance by reducing visual search time while maintaining spatial consistency. Ephemeral adaptive ...
Leah Findlater, Karyn Moffatt, Joanna McGrenere, J...
WSDM
2009
ACM
161views Data Mining» more  WSDM 2009»
14 years 2 months ago
Predicting the readability of short web summaries
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
Tapas Kanungo, David Orr