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INTR
2010
157views more  INTR 2010»
13 years 6 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
HIS
2008
13 years 9 months ago
Implicit User Modelling Using Hybrid Meta-Heuristics
The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on World Wide Web ca...
Pavel Krömer, Václav Snásel, Ja...
IEEECIT
2009
IEEE
14 years 2 months ago
Applying Collective Intelligence for Search Improvement on Thai Herbal Information
— Knowledge about herbal medicine can be contributed from experts in several cultures. With the conventional techniques, it is hard to find the way which the experts can build a ...
Verayuth Lertnattee, Sinthop Chomya, Thanaruk Thee...
SIGIR
2012
ACM
11 years 10 months ago
Improving searcher models using mouse cursor activity
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
Jeff Huang, Ryen W. White, Georg Buscher, Kuansan ...
DKE
2006
118views more  DKE 2006»
13 years 8 months ago
Clustering e-commerce search engines based on their search interface pages using WISE-Cluster
In this paper, we propose a new approach to clustering e-commerce search engines (ESEs) on the Web. Our approach utilizes the features available on the interface page of each ESE,...
Yiyao Lu, Hai He, Qian Peng, Weiyi Meng, Clement T...