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CIKM
2008
Springer
14 years 11 months ago
Probabilistic polyadic factorization and its application to personalized recommendation
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
Yun Chi, Shenghuo Zhu, Yihong Gong, Yi Zhang
IJWGS
2008
116views more  IJWGS 2008»
14 years 9 months ago
Harnessing user contributions and dynamic profiling to better satisfy individual information search needs
: In the situation of information overload we are experiencing today, conventional web search systems taking a one-size-fits-all approach are often not capable of effectively satis...
Roman Y. Shtykh, Qun Jin
SIGIR
2004
ACM
15 years 3 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
MM
2010
ACM
132views Multimedia» more  MM 2010»
14 years 10 months ago
One person labels one million images
Targeting the same objective of alleviating the manual work as automatic annotation, in this paper, we propose a novel framework with minimal human effort to manually annotate a l...
Jinhui Tang, Qiang Chen, Shuicheng Yan, Tat-Seng C...
SIGIR
2005
ACM
15 years 3 months ago
Personalizing search via automated analysis of interests and activities
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Jaime Teevan, Susan T. Dumais, Eric Horvitz