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CIKM
2007
Springer
15 years 10 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 4 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
CIKM
2009
Springer
15 years 10 months ago
Personalized social search based on the user's social network
This work investigates personalized social search based on the user’s social relations – search results are re-ranked according to their relations with individuals in the user...
David Carmel, Naama Zwerdling, Ido Guy, Shila Ofek...
IUI
2003
ACM
15 years 9 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
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
13 years 6 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...