User Segmentation for Personalization of Newsletters in CQA Systems

CQA systems are common resource of knowledge sharing and obtaining information. Every day many questions and answers are created. One of the way how to inform about news in system is newsletter. Nevertheless, newsletters are not personalized yet and show random generated content for every user in such a system as Stack Overflow. Newsletters are now not quite popular because content has no value for most users.
We propose to create user segments that group users with common interests. For every group, will be generated newsletter containing specific content dependent on group attributes. After that, we want to modify specific section of newsletter for personalization based on user. Personalization of newsletter can help with searching the right content for new users and stable ones too and can. We want to evaluate proposed methods on available data of existing CQA system.