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» A Survey of Explanations in Recommender Systems
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112
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CSCW
2010
ACM
15 years 9 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
15 years 6 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»
15 years 6 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
112
Voted
ICDIM
2010
IEEE
14 years 10 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
116
Voted
RECSYS
2009
ACM
15 years 5 months 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