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: 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: The filtering of activities generated by nodes of a network while interacting with a device may be performed by evaluating the desirability of the activities (e.g., a spam or not-spam determination of email messages sent by the node) and assigning a trust rating to the node. However, nodes are often identified by network address, and an operator of a node sending undesirable activities may reassign the network address of the node in order to avoid heavy filtering. Instead, nodes may be identified as being controlled by a network entity (e.g., an autonomous system identified in a border gateway protocol routing table.) The network entity is assigned a network entity trust rating based on the trust ratings of the nodes controlled thereby, and an appropriate level of activity filtering based on the network entity trust rating may be selected for subsequent activities received from all nodes controlled by the network entity.

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: Network entities controlling a set of nodes may vary by trustworthiness, such as tolerance for nodes that send spam, distribute malware, or perform denial-of-service attacks. A device receiving such activities may identify a trust rating of the network entity and apply appropriately stringent filtering (such as spam evaluation) to activities received from nodes controlled by the network entity. However, a poor trust rating of a network entity may subject a legitimate node controlled by the network entity to inefficiently or unfairly stringent activity filtering. Instead, the device may evaluate the activities of a particular node, assign a trust rating to the node, and if the trust rating of the node is higher than the trust rating of the network entity, apply less stringent activity filtering to the activities of the node, thereby “rescuing” the node from the more stringent activity filtering applied to the other nodes of the network entity.

Abstract: The filtering of activities generated by nodes of a network while interacting with a device may be performed by evaluating the desirability of the activities (e.g., a spam or not-spam determination of email messages sent by the node) and assigning a trust rating to the node. However, nodes are often identified by network address, and an operator of a node sending undesirable activities may reassign the network address of the node in order to avoid heavy filtering. Instead, nodes may be identified as being controlled by a network entity (e.g., an autonomous system identified in a border gateway protocol routing table.) The network entity is assigned a network entity trust rating based on the trust ratings of the nodes controlled thereby, and an appropriate level of activity filtering based on the network entity trust rating may be selected for subsequent activities received from all nodes controlled by the network entity.

Abstract: Network entities controlling a set of nodes may vary by trustworthiness, such as tolerance for nodes that send spam, distribute malware, or perform denial-of-service attacks. A device receiving such activities may identify a trust rating of the network entity and apply appropriately stringent filtering (such as spam evaluation) to activities received from nodes controlled by the network entity. However, a poor trust rating of a network entity may subject a legitimate node controlled by the network entity to inefficiently or unfairly stringent activity filtering. Instead, the device may evaluate the activities of a particular node, assign a trust rating to the node, and if the trust rating of the node is higher than the trust rating of the network entity, apply less stringent activity filtering to the activities of the node, thereby “rescuing” the node from the more stringent activity filtering applied to the other nodes of the network entity.

Abstract: The present invention provides the ability to compare and enforce policies between trusted entities within a rights management system. For example, policies between the two entities may be received by either entity. They may then be compared to determine the compatibility of the two policies. If compatible, or maybe even without the comparison, other embodiments provide for message server use license, which allows access to the protected portion of a message, thereby permitting an entity to enforce its message policies.

Abstract: The present invention allows for a pre-licensing process for content that is subject to rights management in order to allow a principal access to the content when the principal does not have access to the rights management server. Rather than requiring the principal to submit a rights account certificate and request for a use license to the rights management server, the present invention allows the message server to obtain a use license on behalf of the principal. Accordingly, the principal can access the use license from the message server and decrypt protected content without having to request the use license from the rights management server.

Abstract: The present invention provides the ability to compare and enforce policies between trusted entities within a rights management system. For example, policies between the two entities may be received by either entity. They may then be compared to determine the compatibility of the two policies. If compatible, or maybe even without the comparison, other embodiments provide for message server use license, which allows access to the protected portion of a message, thereby permitting an entity to enforce its message policies.

Abstract: An electronic pricing display system for displaying pricing and other specialized information in real time on shelf display tags (18). Display tags (18) are battery operated and receive remotely transmitted infrared signals from optical heads (20) mounted on the ceiling of a store. A handheld electronic controller (22) may be carried by store personnel for obtaining information from or sending information to a selected wireless display tag (18). Pricing information from a main computer (10) is connected by an electronic interface (23) including a microprocessor (24) into a serial information stream having two separate frequencies for relay to the optical heads (20).