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SOCIALCOM
2010
15 years 4 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
SOCIALCOM
2010
15 years 4 months ago
Assessing the Value of Contributions in Tagging Systems
-- Assessing the value of individual users' contributions in peer-production systems is paramount to the design of mechanisms that support collaboration and improve users'...
Elizeu Santos-Neto, Flavio Figueiredo, Jussara M. ...
USS
2010
15 years 4 months ago
Searching the Searchers with SearchAudit
Search engines not only assist normal users, but also provide information that hackers and other malicious entities can exploit in their nefarious activities. With carefully craft...
John P. John, Fang Yu, Yinglian Xie, Martín...
ICSOC
2009
Springer
15 years 4 months ago
Transformation of Intermediate Nonfunctional Properties for Automatic Service Composition
Service-oriented computing provides an evolving paradigm for flexible and scalable applications of open systems. Web services and their automatic composition are in the mainstream...
Haruhiko Takada, Incheon Paik
IFIP12
2009
15 years 4 months ago
User Recommendations based on Tensor Dimensionality Reduction
Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products etc.). Social tagging...
Panagiotis Symeonidis
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