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» Putting Users in Control of their Recommendations
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RECSYS
2009
ACM
15 years 4 months ago
Context-based splitting of item ratings in collaborative filtering
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
Linas Baltrunas, Francesco Ricci
ACMICEC
2008
ACM
262views ECommerce» more  ACMICEC 2008»
15 years 12 days ago
Preventing information leakage between collaborating organisations
Information sharing and protection against leakage is a critical problem especially for organisations having sensitive information. Sharing content between individuals in the same...
Muntaha Alawneh, Imad M. Abbadi
WWW
2010
ACM
15 years 5 months ago
Privacy wizards for social networking sites
Privacy is an enormous problem in online social networking sites. While sites such as Facebook allow users fine-grained control over who can see their profiles, it is difficult ...
Lujun Fang, Kristen LeFevre
TLCA
2005
Springer
15 years 3 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
HICSS
2010
IEEE
187views Biometrics» more  HICSS 2010»
15 years 5 months ago
Engaging the Periphery for Visual Communication on Mobile Phones
While mobile phones have become ubiquitous instruments of communication and social interaction, they still require explicit interaction, placing high demands on attention. Engagin...
Lisa Cowan, William G. Griswold, Louise Barkhuus, ...