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» Clustering e-commerce search engines
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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 5 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
WWW
2008
ACM
14 years 5 months ago
Mining tag clouds and emoticons behind community feedback
In this paper we describe our mining system which automatically mines tags from feedback text in an eCommerce scenario. It renders these tags in a visually appealing manner. Furth...
Kavita A. Ganesan, Neelakantan Sundaresan, Harshal...
IUI
1999
ACM
13 years 9 months ago
Opportunistic Exploration of Large Consumer Product Spaces
The advent of the Web has brought an unprecedented amount of information together with a large, diverse set of users. Online users are performing a wider variety of tasks than eve...
Doug Bryan, Anatole Gershman
MM
2006
ACM
217views Multimedia» more  MM 2006»
13 years 10 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
EDBTW
2004
Springer
13 years 10 months ago
MIRA: Multilingual Information Processing on Relational Architecture
In today’s global village, it is critical that the key information tools, such as web search engines, e-Commerce portals and e-Governance, work across multiple natural languages,...
A. Kumaran