Enhanced Approach for Resemblance of User Profiles in Social Networks using Similarity Measures
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 7
Abstract
The momentum of Online Social Networking, allows the users to build up the connections with other users of the internet. In order to search the people having similar interests, for a variety of reasons either to personalize the services to the users or for selling purpose of their profiles to advertisers. The concern is to find the best resemblance among the user profiles in online social networks by using similarity measures. The heterogeneous similarity measures can be combined effectively to make enhanced approach. The existing approach lack the embedding of the similarity measures in the attribute algorithm itself. In this paper, firstly the Hybrid Attribute Algorithm is proposed for generating the incidence matrix and then the initial concept of rank order clustering Algorithm is used for assignment of weighted factor to find the best resemblance among the user profiles. After that, it will be decided that which target profiles are best resembling with the source profile and these results will be compared with the old approach which shows the superiority of the proposed approach.
Authors and Affiliations
Nidhi Goyal, Jaswinder Singh
Keywords
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