International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed / Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: A typical problem of growing social connectivity on social media platforms is the accurate estimation of the probability of acceptance of a request to connect with an individual. A prevalent practice involves the identification of the “friends” of a particular user in a group. The current paper proposes a weighted average metric-based approach to building a recommender system for the given purpose. The weighted average graph search-based approach is simulated and the results examined in the paper.

Keywords: social connectivity, social media, weighed average metric, recommender system, graph search

PDF | DOI: 10.17148/IJIREEICE.2020.8510

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