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INFOCOM
2011
IEEE
12 years 8 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 4 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
2006
ACM
14 years 4 months ago
Accounting for taste: using profile similarity to improve recommender systems
Recommender systems have been developed to address the abundance of choice we face in taste domains (films, music, restaurants) when shopping or going out. However, consumers curr...
Philip Bonhard, Clare Harries, John D. McCarthy, M...
ICMCS
2005
IEEE
163views Multimedia» more  ICMCS 2005»
13 years 10 months ago
A Collaborative Annotation Framework
This paper describes our system that enables members of a social network to collaboratively annotate a shared media collection. The problem is important since online social networ...
Bageshree Shevade, Hari Sundaram, Min-Yen Kan
WWW
2010
ACM
13 years 4 months ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han