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An Approach for Personalized Social Matching Systems by Using Ant Colony

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DOI: 10.4236/sn.2014.32013    4,468 Downloads   5,753 Views   Citations

ABSTRACT

Personalized social matching systems can be seen as recommender systems that recommend people to others in the social networks, with desirable skills/characteristics. In this work, an algorithm based on Ant Colony is proposed to solve the optimization problem of clustering/matching people in a social network specifically designed for this purpose; during this process, their personal characteristics and preferences (and the degree of importance thereof) are taken into account. The numerical results indicate that the proposed algorithm can successfully perform clustering with a variable number of individuals.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

de Mendonça, L. (2014) An Approach for Personalized Social Matching Systems by Using Ant Colony. Social Networking, 3, 102-107. doi: 10.4236/sn.2014.32013.

References

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