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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
16 years 8 days 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

Publication
203views
14 years 12 months ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...
SEMWEB
2005
Springer
15 years 5 months ago
Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context
Recommender algorithms have been quite successfully employed in a variety of scenarios from filtering applications to recommendations of movies and books at Amazon.com. However, a...
Stefania Ghita, Wolfgang Nejdl, Raluca Paiu
ADVCS
2008
140views more  ADVCS 2008»
15 years 11 hour ago
Reputation for Innovating Social Networks
Reputation is a fundamental instrument of partner selection. Developed within the domain of electronic auctions, reputation technology is being been imported into other applicatio...
Rosaria Conte, Mario Paolucci, Jordi Sabater-Mir
ICDE
2010
IEEE
260views Database» more  ICDE 2010»
15 years 11 months ago
Anonymizing Weighted Social Network Graphs
The increasing popularity of social networks has initiated a fertile research area in information extraction and data mining. Although such analysis can facilitate better understan...
Sudipto Das, Ömer Egecioglu, Amr El Abbadi