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» How Users Perceive and Appraise Personalized Recommendations
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ICALT
2006
IEEE
15 years 3 months ago
Adapting for Visual and Verbal Learning Styles in AEH
This paper describes how visual and verbal learning styles have been successfully integrated into an adaptive educational environment. User trials of this system were carried out,...
Elizabeth J. Brown, Craig D. Stewart, Tim J. Brail...
SOCIALCOM
2010
14 years 4 months ago
Learning Influence Propagation of Personal Blogs with Content and Network Analyses
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
15 years 4 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
CHI
2009
ACM
15 years 10 months ago
Designing for discovery: opening the hood for open-source end user tinkering
According to the Free Software Movement, the user ought to have "the freedoms to make changes, and to publish improved versions" and "to study how the program works...
Gifford Cheung, Parmit Chilana, Shaun K. Kane, Bra...
MOBICOM
2010
ACM
14 years 10 months ago
Profiling users in a 3g network using hourglass co-clustering
With widespread popularity of smart phones, more and more users are accessing the Internet on the go. Understanding mobile user browsing behavior is of great significance for seve...
Ram Keralapura, Antonio Nucci, Zhi-Li Zhang, Lixin...