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Recipient Suggestion for Electronic Messages Using Local Social Network Data

Social network users often want to send a message to a group of recipients. An algorithm that recommends other possible recipients given an initial set of recipients is introduced in this paper. The algorithm uses different types of local user data: profile, friendship graph, posts, and social interactions (likes, comments, tags). Experimental evaluation using Facebook application demonstrated that the algorithm is able to make suggestions meaningful to experts.