Corpus ID: 7163243

Exploiting Direct and Indirect Information for Friend Suggestion in ZingMe

@article{Nguyen2013ExploitingDA,
  title={Exploiting Direct and Indirect Information for Friend Suggestion in ZingMe},
  author={K. Nguyen and Tuan Pham Minh and Q. Nguyen and Thanh Trung Nguyen},
  journal={ArXiv},
  year={2013},
  volume={abs/1311.3732}
}
Friend suggestion is a fundamental problem in social networks with the goal of assisting users in creating more relationships, and thereby enhances interest of users to the social networks. This problem is often considered to be the link prediction problem in the network. ZingMe is one of the largest social networks in Vietnam. In this paper, we analyze the current approach for the friend suggestion problem in ZingMe, showing its limitations and disadvantages. We propose a new efficient… Expand

References

SHOWING 1-10 OF 25 REFERENCES
A Unified Framework for Link Recommendation Using Random Walks
Supervised random walks: predicting and recommending links in social networks
Towards time-aware link prediction in evolving social networks
Local learning of item dissimilarity using content and link structure
When will it happen?: relationship prediction in heterogeneous information networks
The link prediction problem for social networks
Growth of the flickr social network
...
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2
3
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