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» Methods for boosting recommender systems
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JSAC
2006
181views more  JSAC 2006»
13 years 5 months ago
Information theoretic framework of trust modeling and evaluation for ad hoc networks
Abstract-- The performance of ad hoc networks depends on cooperation and trust among distributed nodes. To enhance security in ad hoc networks, it is important to evaluate trustwor...
Yan Lindsay Sun, Wei Yu, Zhu Han, K. J. Ray Liu
SIGIR
2008
ACM
13 years 5 months ago
Efficient top-k querying over social-tagging networks
Online communities have become popular for publishing and searching content, as well as for finding and connecting to other users. User-generated content includes, for example, pe...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Sebast...
INTERACTIONS
2010
97views more  INTERACTIONS 2010»
13 years 3 months ago
Design challenge based learning (DCBL) and sustainable pedagogical practice
s on Human Factors in Computing Systems. CHI ‘07. New York: ACM, 2007. university environment at scale, with structure, and with rigor. The notion of studio culture and learning ...
Eli Blevis
SIGSOFT
2010
ACM
13 years 3 months ago
Growth of newcomer competence: challenges of globalization
The transfer of entire projects to offshore locations, the aging and renewal of core developers in legacy products, the recruiting in fast growing Internet companies, and the part...
Minghui Zhou, Audris Mockus
TKDE
2011
133views more  TKDE 2011»
13 years 10 days ago
Collaborative Filtering with Personalized Skylines
— Collaborative filtering (CF) systems exploit previous ratings and similarity in user behavior to recommend the top-k objects/records which are potentially most interesting to t...
Ilaria Bartolini, Zhenjie Zhang, Dimitris Papadias