BibTeX:

@article{IJIRSTV1I10002,
     title={An InnovativeConcept for Finding Friends in Social Networks based on their Lifestyles},
     author={M.Kanchana, S.P.Adaikkammai and V.Amirtham},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={10},
     pages={25--27},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I10002.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Existing social network services provide list of friends to users based on their request given. But it will not fulfill the user’s preferences in real life. Due to overloaded memory of the server memory size increases and lacking its efficiency. By implementing the Latent Dirichlet Allocation Algorithm we extracting their lifestyles and sensing the similarity of lifestyles between users by using embedded sensors in the smartphones. Based on friend matching graphs we return a list of people with highest similarity of lifestyles. Feedback mechanism is integrated in this friendbook to get the results of users in choosing friends. We have implemented friendbook on the Android-based smartphones and evaluated its performance on both small scale experiments and large scale simulations. Finally, we reduce the memory size of the server and improving its performance.

social network services, Latent Dirichlet Allocation Algorithm, Android-based smartphones