Location Based Friend Recommendation for Online Social Network with Hypercube

DOI

10.2991/aiie-15.2015.83How to use a DOI?

Keywords

social networking; recommendation; hypercube

Abstract

Nowadays, friend recommendation is one of the most popular applications for online social network, but it is often difficult to find truly useful information by using this function. The inaccurate friend recommendation results largely block the online social interaction among micro-blog users. Thus, in this paper, we propose to combine the user’s interest and the user's location together. By recommendingsurrounding users who have similar interest to each other, micro-blog users are provided an effective way of interacting with surrounding people that they may want to know. Simulation results demonstrate the advantage of our proposed algorithms compared with the traditional friend recommendation approaches.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - J.Q. Zhu
AU  - M. Zheng
PY  - 2015/07
DA  - 2015/07
TI  - Location Based Friend Recommendation for Online Social Network with Hypercube
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 297
EP  - 300
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.83
DO  - 10.2991/aiie-15.2015.83
ID  - Zhu2015/07
ER  -