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» A Survey of Explanations in Recommender Systems
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CSCW
2010
ACM
14 years 4 months ago
Inspired by the audience: a topic suggestion system for blog writers and readers
Employee blogging has benefits both for individuals and the organization. In order to inspire the creation of blog posts, we developed a novel topic suggestion system that connect...
Werner Geyer, Casey Dugan
VL
2008
IEEE
14 years 1 months ago
Towards the next generation of bug tracking systems
Developers typically rely on the information submitted by end-users to resolve bugs. We conducted a survey on information needs and commonly faced problems with bug reporting amon...
Sascha Just, Rahul Premraj, Thomas Zimmermann
HICSS
2006
IEEE
99views Biometrics» more  HICSS 2006»
14 years 1 months ago
A Framework for Automatic Online Personalization
Inexpensive data collection and storage technologies and a global thirst for information have led to data repositories so large that users may become disoriented and unable to loc...
Paul Ralph, Jeff Parsons
ICDIM
2010
IEEE
13 years 5 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
RECSYS
2009
ACM
14 years 1 days ago
iTag: a personalized blog tagger
We present iTag, a personalized tag recommendation system for blogs. iTag improves on the state-of-the-art in tag recommendation systems in two ways. First, iTag has much higher p...
Michael Hart, Rob Johnson, Amanda Stent