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DOI: 10.14569/IJACSA.2021.0120985
PDF

Future Friend Recommendation System based on User Similarities in Large-Scale on Social Network

Author 1: Md. Amirul Islam
Author 2: Linta Islam
Author 3: Md. Mahmudul Hasan
Author 4: Partho Ghose
Author 5: Uzzal Kumar Acharjee
Author 6: Md. Ashraf Kamal

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 9, 2021.

  • Abstract and Keywords
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Abstract: Friendship is one of the most important issues in online social networks (OSN). Researchers analyze the OSN to determine how people are connected to a network and how new connections are developed. Most of the existing methods cannot efficiently evaluate a friendship graphs internal connectivity and decline to render a proper recommendation. This paper presented three proposed algorithms that can apply in OSN to predict future friends recommendations for the users. Using network and profile similarity proposed approach can measure the similarity among the users. To predict the user similarity, we calculated an average weight that indicates the probability of two users being similar by considering every precise subset of some profile attributes such as age, profession, location, and interest rather than taking the only average of the superset profile attributes. The suggested algorithms perform a significant enhancement in prediction accuracy 97% and precision 96.566%. Furthermore, the proposed recommendation frameworks can handle any profile attribute’s missing value by assuming the value based on friends’ profile attributes.

Keywords: Social networks; recommendation framework; pro-file similarity; network similarity

Md. Amirul Islam, Linta Islam, Md. Mahmudul Hasan, Partho Ghose, Uzzal Kumar Acharjee and Md. Ashraf Kamal, “Future Friend Recommendation System based on User Similarities in Large-Scale on Social Network” International Journal of Advanced Computer Science and Applications(IJACSA), 12(9), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120985

@article{Islam2021,
title = {Future Friend Recommendation System based on User Similarities in Large-Scale on Social Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120985},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120985},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {9},
author = {Md. Amirul Islam and Linta Islam and Md. Mahmudul Hasan and Partho Ghose and Uzzal Kumar Acharjee and Md. Ashraf Kamal}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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