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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 7 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
AIIA
2007
Springer
15 years 6 months ago
User Modelling for Personalized Question Answering
In this paper, we address the problem of personalization in question answering (QA). We describe the personalization component of YourQA, our web-based QA system, which creates ind...
Silvia Quarteroni, Suresh Manandhar
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 5 months ago
Keeping Track of Humans: Have I Seen This Person Before?
— In this paper we describe a system that enables a mobile robot equipped with a color vision system to track humans in indoor environments. We developed a method for tracking hu...
Wojciech Zajdel, Zoran Zivkovic, Ben J. A. Krö...
IUI
2003
ACM
15 years 5 months ago
Personal choice point: helping users visualize what it means to buy a BMW
How do we know if we can afford a particular purchase? We can find out what the payments might be and check our balances on various accounts, but does this answer the question? Wh...
Andrew E. Fano, Scott W. Kurth
IUI
2003
ACM
15 years 5 months ago
Adapting to the user's internet search strategy on small devices
World Wide Web search engines typically return thousands of results to the users. To avoid users browsing through the whole list of results, search engines use ranking algorithms ...
Jean-David Ruvini