ATFR: Attribute based Trustworthy Friend Recommendations Online

Users today relay on social networking platforms for infor-mation retrieval. Information shared on the social networks will be cir-culated through their friend sharing them on their pro les. Thus making trustworthy friends in social networks is more important to maintain data privacy. Existing system compute friends based on their mutual friends which would not be e cient way of selecting friends online [1]. This allows user to get connected with strangers without any information of real friend or fake friend. To overcome this problem attribute based trustworthy friend recommendation system is proposed. Based on this, the attributes of each user is collected during pro le creation and these attributes are subjected to similarity between the users. Each user online are evaluated with their trust score with the help of Trust Score algo-rithm. Experimental result shows the number of friends recommended are trustworthy.

Keywords: Attributes, Recommendation, Social Networks, Trust

Suggested Citation: Suggested Citation

S M, Manasa and R, Manasa and K R, Venugopal, ATFR: Attribute based Trustworthy Friend Recommendations Online (April 15, 2020). Proceedings of the International Conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC) 2019, Available at SSRN: https://ssrn.com/abstract=3576477 or http://dx.doi.org/10.2139/ssrn.3576477