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» Social Manipulation of Online Recommender Systems
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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 5 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
ECAI
2010
Springer
13 years 2 months ago
Social Recommendation with Interpersonal Influence
Social recommendation, that an individual recommends an item to another, has gained popularity and success in web applications such as online sharing and shopping services. It is l...
Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Sh...
ICDIM
2010
IEEE
13 years 2 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
WWW
2010
ACM
13 years 11 months ago
SpotRank: a robust voting system for social news websites
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe...
IUI
2000
ACM
13 years 9 months ago
A recipe based on-line food store
In this paper we present a recommender system design for recipe based on-line food shopping. Our system differs in two major ways from existing system. First we use an editor that...
Martin Svensson, Jarmo Laaksolahti, Kristina H&oum...