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SOCIALCOM
2010
15 years 3 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
VIS
2004
IEEE
150views Visualization» more  VIS 2004»
16 years 7 months ago
Building an Ontology of Visualization
Recent activity within the UK National e-Science Programme has identified a need to establish an ontology for visualization. Motivation for this includes defining web and grid ser...
David J. Duke, Ken W. Brodlie, David A. Duce
WWW
2006
ACM
16 years 6 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
CHI
2006
ACM
16 years 6 months ago
Motivating participation by displaying the value of contribution
One of the important challenges faced by designers of online communities is eliciting sufficent contributions from community members. Users in online communities may have difficul...
Al Mamunur Rashid, Kimberly S. Ling, Regina D. Tas...
CHI
2004
ACM
16 years 6 months ago
Think different: increasing online community participation using uniqueness and group dissimilarity
Online communities can help people form productive relationships. Unfortunately, this potential is not always fulfilled: many communities fail, and designers don't have a sol...
Pamela J. Ludford, Dan Cosley, Dan Frankowski, Lor...