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ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 6 days ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
SIGIR
2012
ACM
11 years 8 months ago
Task complexity, vertical display and user interaction in aggregated search
Aggregated search is the task of blending results from specialized search services or verticals into the Web search results. While many studies have focused on aggregated search t...
Jaime Arguello, Wan-Ching Wu, Diane Kelly, Ashlee ...
JAIR
2006
108views more  JAIR 2006»
13 years 5 months ago
Preference-based Search using Example-Critiquing with Suggestions
We consider interactive tools that help users search for their most preferred item in a large collection of options. In particular, we examine example-critiquing, a technique for ...
Paolo Viappiani, Boi Faltings, Pearl Pu
WISE
2009
Springer
14 years 18 days ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...
GECCO
2005
Springer
13 years 11 months ago
Interactive estimation of agent-based financial markets models: modularity and learning
Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting t...
M. Ihsan Ecemis, Eric Bonabeau, Trent Ashburn