Abstract: Email users may feel overwhelmed with the abundance of emails they receive. Many current email management techniques require at least some manual intervention that may be time consuming and/or otherwise frustrating to a user. As provided herein, emails may be characterized based upon content of the email and domain classification data (e.g., a company name, business category, or a website name associated with the domain name of the sender). One or more viewing panels may be populated with the characterized emails. A viewing panel may present emails corresponding to a particular characterization (e.g., a shopping viewing panel may display emails characterized as shopping). To enhance characterization, rules used to characterize emails may learn from a user's actions. For example, a user may move an email from a shopping viewing panel to a travel viewing panel, thus altering the characterization of the email from shopping to travel.

Abstract: Email users may feel overwhelmed with the abundance of emails they receive. Many current email management techniques require at least some manual intervention that may be time consuming and/or otherwise frustrating to a user. As provided herein, emails may be characterized based upon content of the email and domain classification data (e.g., a company name, business category, or a website name associated with the domain name of the sender). One or more viewing panels may be populated with the characterized emails. A viewing panel may present emails corresponding to a particular characterization (e.g., a shopping viewing panel may display emails characterized as shopping). To enhance characterization, rules used to characterize emails may learn from a user's actions. For example, a user may move an email from a shopping viewing panel to a travel viewing panel, thus altering the characterization of the email from shopping to travel.