Generating targeted message distribution lists

Abstract

An approach for generating a distribution list. The approach analyzes a message associated with a user to create a message bag of words (BOW). The approach can analyze a history of messages associated with the user to create a plurality of history message BOWs. The approach can calculate similarity factors between the message BOW and the plurality of history BOWs, respectively. If a similarity factor is '>=' a predetermined similarity threshold, the approach can add a history message to a similar message list. The approach can calculate interest factors, based on the similarity factors, for contacts associated with the similarity factors in the similar message list. If an interest factor is “>=” a predetermined interest threshold, the approach can add a contact associated with the interest factor to a suggested contact list. The approach can prioritize the suggested contact list and insert the list as a distribution list.