Geo-Social Semantic Profile Matching Algorithm for Dynamic Interests in Ad-hoc Social Network
Published in IEEE International Conference on Computational Intelligence & Communication Technology, 2015
Recommended citation: N. Aneja and S. Gambhir, "Geo-Social Semantic Profile Matching Algorithm for Dynamic Interests in Ad-hoc Social Network," 2015 IEEE International Conference on Computational Intelligence and Communication Technology, Ghaziabad, 2015, pp. 354-358, doi: 10.1109/CICT.2015.50. https://ieeexplore.ieee.org/document/7078725
Ad-hoc Social Network (ASN) allows users to create social network connections using wireless ad hoc network. Various techniques have been proposed to create ASN by matching profiles of users. In order to create meaningful ASN, there is a need to dynamically set and match user profile based on changing user’s interests. This paper provides an algorithm to semantically match users profiles based on geographic location and dynamic interests.