The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
BT Technology Journal
IEEE Intelligent Systems
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Approximate personal name-matching through finite-state graphs
Journal of the American Society for Information Science and Technology
Friends and foes: ideological social networking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
Proceedings of the 17th international conference on World Wide Web
Measuring social networks with digital photograph collections
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Visualizing Social Photos on a Hasse Diagram for Eliciting Relations and Indexing New Photos
IEEE Transactions on Visualization and Computer Graphics
PYMK: friend recommendation at myspace
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Automatic Discovery of Personal Name Aliases from the Web
IEEE Transactions on Knowledge and Data Engineering
Social Community Analysis via a Factor Graph Model
IEEE Intelligent Systems
The QoS-based MCDM system for SaaS ERP applications with Social Network
The Journal of Supercomputing
Aligning principal and agent's incentives: A principal-agent perspective of social networking sites
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Social network services have become widely used as an important tool to share rich information; in such networks, making new friends is the most basic functionality to enable users to take advantage of their social networks. In this paper we look into personal photos as an additional source for social network analysis and analyze the potential of people tags in the photos for friend recommendations. We also propose a new compact data structure, collectively called Face Co-Occurrence Networks (FCON), which stores crucial and quantitative information about people's appearance in photos. We discover strong associative relationships among people and recommend reliable social friends by utilizing FCON. Experimental results demonstrate the effectiveness and efficiency of our method for recommending friends in social network services.