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BCSHCI
2007
13 years 9 months ago
"The devil you know knows best": how online recommendations can benefit from social networking
The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been ver...
Philip Bonhard, Martina Angela Sasse, Clare Harrie...
CSCW
2008
ACM
13 years 9 months ago
It's all 'about you': diversity in online profiles
User profiles on today's social networking sites support only a small set of predefined questions. We report on an alternative way for users to richly describe themselves, by...
Casey Dugan, Werner Geyer, Michael J. Muller, Joan...
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 8 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
CHI
2010
ACM
14 years 2 months ago
Improving social game engagement on facebook through enhanced socio-contextual information
In this paper we describe the results of a controlled study of a social game, Magpies, which was built on the Facebook Online Social Network (OSN) and enhanced with contextual soc...
Ben Kirman, Shaun Lawson, Conor Linehan, Francesco...
SIGIR
2009
ACM
14 years 2 months ago
Detecting spammers and content promoters in online video social networks
A number of online video social networks, out of which YouTube is the most popular, provides features that allow users to post a video as a response to a discussion topic. These f...
Fabrício Benevenuto, Tiago Rodrigues, Virg&...