Abstract: Message management and classification techniques are described. In one or more implementations, a message received from a sender for delivery via a user account is examined to extract one or more features of the message. A determination is then made as to whether the message corresponds to one or more categories based on the extracted features, the categories usable to enable features to be applied to the message in a user interface.

Abstract: Techniques involving identification of electronic messages that are the first contact between the sender identification and addressed recipients. One representative technique includes identifying electronic messages originating from a sender that are first contact electronic messages between the sender and targeted recipients. The sender of the electronic messages may be designated as a source of unsolicited messages if heuristics involving the first contact electronic messages indicate a distribution of unsolicited messages by the sender.

Abstract: Techniques involving identification of electronic messages that are the first contact between the sender identification and addressed recipients. One representative technique includes identifying electronic messages originating from a sender that are first contact electronic messages between the sender and targeted recipients. The sender of the electronic messages may be designated as a source of unsolicited messages if heuristics involving the first contact electronic messages indicate a distribution of unsolicited messages by the sender.

Abstract: Techniques involving identification of electronic messages that are the first contact between the sender identification and addressed recipients. One representative technique includes identifying electronic messages originating from a sender that are first contact electronic messages between the sender and targeted recipients. The sender of the electronic messages may be designated as a source of unsolicited messages if heuristics involving the first contact electronic messages indicate a distribution of unsolicited messages by the sender.

Abstract: Message management and classification techniques are described. In one or more implementations, a message received from a sender for delivery via a user account is examined to extract one or more features of the message. A determination is then made as to whether the message corresponds to one or more categories based on the extracted features, the categories usable to enable features to be applied to the message in a user interface.

Abstract: Message management and classification techniques are described. In one or more implementations, a message received from a sender for delivery via a user account is examined to extract one or more features of the message. A determination is then made as to whether the message corresponds to one or more categories based on the extracted features, the categories usable to enable features to be applied to the message in a user interface.

Abstract: A computer implemented method for filtering unwanted bulk email in an email system and providing a positive user experience is provided. The method enables protection of email users from unsolicited bulk email using user-provided data on user interactions at both a user storage level and a global level with an email system. Metadata on user interactions with messages is collected. Messages are received by the system and evaluated using a global filter which assigns a score resulting in a message action. The action may be message delivery, message non-delivery or message routing, based on a score assigned by the global filter. When the message is delivered to user storage, the message may be examined relative to the metadata, and may alter the message action to an action different than the message action resulting from the score. Metadata for a plurality of users is returned to the global filter for use in making filtering future messages and modifies the global filter.

Abstract: Techniques involving identification of electronic messages that are the first contact between the sender identification and addressed recipients. One representative technique includes identifying electronic messages originating from a sender that are first contact electronic messages between the sender and targeted recipients. The sender of the electronic messages may be designated as a source of unsolicited messages if heuristics involving the first contact electronic messages indicate a distribution of unsolicited messages by the sender.

Abstract: Techniques involving identification of electronic messages that are the first contact between the sender identification and addressed recipients. One representative technique includes identifying electronic messages originating from a sender that are first contact electronic messages between the sender and targeted recipients. The sender of the electronic messages may be designated as a source of unsolicited messages if heuristics involving the first contact electronic messages indicate a distribution of unsolicited messages by the sender.

Abstract: Techniques involving identification of electronic messages that are the first contact between the sender identification and addressed recipients. One representative technique includes identifying electronic messages originating from a sender that are first contact electronic messages between the sender and targeted recipients. The sender of the electronic messages may be designated as a source of unsolicited messages if heuristics involving the first contact electronic messages indicate a distribution of unsolicited messages by the sender.

Abstract: Message management and classification techniques are described. In one or more implementations, a message received from a sender for delivery via a user account is examined to extract one or more features of the message. A determination is then made as to whether the message corresponds to one or more categories based on the extracted features, the categories usable to enable features to be applied to the message in a user interface.

Abstract: A computer implemented method for filtering unwanted bulk email in an email system and providing a positive user experience is provided. The method enables protection of email users from unsolicited bulk email using user-provided data on user interactions at both a user storage level and a global level with an email system. Metadata on user interactions with messages is collected. Messages are received by the system and evaluated using a global filter which assigns a score resulting in a message action. The action may be message delivery, message non-delivery or message routing, based on a score assigned by the global filter. When the message is delivered to user storage, the message may be examined relative to the metadata, and may alter the message action to an action different than the message action resulting from the score. Metadata for a plurality of users is returned to the global filter for use in making filtering future messages and modifies the global filter.