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CHI
2006
ACM
14 years 7 months ago
A large scale study of wireless search behavior: Google mobile search
We present a large scale study of search patterns on Google's mobile search interface. Our goal is to understand the current state of wireless search by analyzing over 1 Mill...
Maryam Kamvar, Shumeet Baluja
IUI
2009
ACM
14 years 4 months ago
Searching large indexes on tiny devices: optimizing binary search with character pinning
The small physical size of mobile devices imposes dramatic restrictions on the user interface (UI). With the ever increasing capacity of these devices as well as access to large o...
Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson...
CEC
2009
IEEE
14 years 4 days ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
WWW
2007
ACM
14 years 8 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 4 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li