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» Term Ranking for Clustering Web Search Results
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WWW
2009
ACM
16 years 7 months ago
User-centric content freshness metrics for search engines
In order to return relevant search results, a search engine must keep its local repository synchronized to the Web, but it is usually impossible to attain perfect freshness. Hence...
Ali Dasdan, Xinh Huynh
CHI
2010
ACM
16 years 1 months ago
How does search behavior change as search becomes more difficult?
Search engines make it easy to check facts online, but finding some specific kinds of information sometimes proves to be difficult. We studied the behavioral signals that suggest ...
Anne Aula, Rehan M. Khan, Zhiwei Guan
ICMCS
2007
IEEE
255views Multimedia» more  ICMCS 2007»
16 years 24 days ago
Distributed Architecture for Large Scale Image-Based Search
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applic...
Yu Zheng, Xing Xie, Wei-Ying Ma
ICDE
2012
IEEE
227views Database» more  ICDE 2012»
13 years 9 months ago
Temporal Analytics on Big Data for Web Advertising
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
16 years 12 hour ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi