Recommendation using analysis of semantic social network in social network services
Sangun Park, Juyoung Kang · 2015
As Social Network Services became one of the most successful Web based businesses, recommendation using the social network also became actively utilized to attract and retain customers. One of the current research trends of the recommendation is using the various relationships between customers in order to increase the possibility of enhanced recommendation. This paper suggests a semantic social network that represents the various relationships among customers and products through semantic graph, and a method that generates recommendation rules through semantic social network mining over the semantic graph..