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IWC
2002
121views more  IWC 2002»
13 years 7 months ago
Discovering user communities on the Internet using unsupervised machine learning techniques
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
Georgios Paliouras, Christos Papatheodorou, Vangel...
CIKM
2010
Springer
13 years 6 months ago
Visual cube and on-line analytical processing of images
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bo...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
AAAI
2007
13 years 9 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
EUSAI
2003
Springer
14 years 18 days ago
Interacting in Desktop and Mobile Context: Emotion, Trust, and Task Performance
The Personal Assistant for onLine Services (PALS) project aims at attuning the interaction with mobile services to the momentary usage context. Among other thing, PALS should adequ...
Mark A. Neerincx, Jan Willem Streefkerk