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» Why we search: visualizing and predicting user behavior
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WEBI
2009
Springer
14 years 2 months ago
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
Abstract—We present a method for modeling, and automatically inferring, the current interest of a user in search advertising. Our task is complementary to that of predicting ad r...
Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Az...
WSDM
2010
ACM
236views Data Mining» more  WSDM 2010»
14 years 5 months ago
Personalized Click Prediction in Sponsored Search
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...
Erick Cantú-Paz, Haibin Cheng
CHI
2010
ACM
14 years 2 months ago
Effects of interior bezels of tiled-monitor large displays on visual search, tunnel steering, and target selection
Tiled-monitor large displays are widely used in various application domains. However, how their interior bezels affect user performance and behavior has not been fully understood....
Xiaojun Bi, Seok-Hyung Bae, Ravin Balakrishnan
CHI
2006
ACM
14 years 8 months ago
In search of end-users
Learning from end-users is essential to participatory design. In order to learn from end-users we need to find end-users to collaborate with. However, finding end-users can be the...
Rachel K. E. Bellamy, Tracee Vetting Wolf, Rhonda ...
SOFTVIS
2010
ACM
13 years 7 months ago
Heapviz: interactive heap visualization for program understanding and debugging
Understanding the data structures in a program is crucial to understanding how the program works, or why it doesn't work. Inspecting the code that implements the data structu...
Edward Aftandilian, Sean Kelley, Connor Gramazio, ...