and score user’s interests by accessing to pages in browser history. – Categorize ADs and website by analyzing their page. – According to user’s behaviors, rearrange and highlight ADs that user is interested in. • How we build – Chrome extension with MySQL/MongoDB as backend server • Our plan for the future – This idea can be applied to iOS Safari extention in the future AD Highlighter 10