Geo-social semantic profile matching algorithm for dynamic interests in ad-hoc social network
Published in 2015 IEEE International Conference on Computational Intelligence & Communication Technology, 2015
Recommended citation: Nagender Aneja, Sapna Gambhir "Geo-social semantic profile matching algorithm for dynamic interests in ad-hoc social network." 2015 IEEE International Conference on Computational Intelligence & Communication Technology, 2015. pp. 354--358 doi: 10.1109/CICT.2015.50 https://ieeexplore.ieee.org/document/7078725
Geo-social-semantic-profile-matching-algorithm-for-dynamic-interests-in-ad-hoc-social-network
Geo-social-semantic-profile-matching-algorithm-for-dynamic-interests-in-ad-hoc-social-network
(Conference Publication)
Abstract: Ad-hoc Social Network (ASN) allows users to create social network connections using wireless ad hoc networks. Various techniques have been proposed to create ASNs by matching user profiles. To create meaningful ASNs, there is a need to dynamically set and match user profiles based on changing users’ interests. This paper provides an algorithm to semantically match users’ profiles based on geographic location and dynamic interests.
Recommended citation: ‘Nagender Aneja, Sapna Gambhir "Geo-social semantic profile matching algorithm for dynamic interests in ad-hoc social network." 2015 IEEE International Conference on Computational Intelligence & Communication Technology, 2015. pp. 354–358 doi: 10.1109/CICT.2015.50’