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» Predicting user satisfaction from subject satisfaction
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
MHCI
2005
Springer
15 years 2 months ago
Three applications for mobile epidemic algorithms
This paper presents a framework for the pervasive sharing of data using wireless networks. ‘FarCry’ uses the mobility of users to carry files between separated networks. Throu...
Paul Tennent, Malcolm Hall, Barry Brown, Matthew C...
MM
2010
ACM
219views Multimedia» more  MM 2010»
14 years 9 months ago
A framework for photo-quality assessment and enhancement based on visual aesthetics
We present an interactive application that enables users to improve the visual aesthetics of their digital photographs using spatial recomposition. Unlike earlier work that focuse...
Subhabrata Bhattacharya, Rahul Sukthankar, Mubarak...
SIGKDD
2010
259views more  SIGKDD 2010»
14 years 4 months ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
90
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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 6 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme