Abstract: An Activity Management System, according to particular embodiments, is configured to provide a platform in which viewers may access multimedia content (e.g., one or more videos files, audio files, document files, image files, etc.). The Activity Management System is operable to present viewers with multimedia content where the multimedia content is divided in to segments. While a user is viewing or interacting with multimedia content, the user can provide one or more activities (e.g., comments, questions, replies, reactions, etc.) within a conversation area of a graphical user interface. The Activity Management System is operable to electronically link the activity provided by (e.g., submitted by, or associated with) the user with the particular segment of multimedia content in which the activity was captured by the system.

Abstract: An activity Management System, according to particular embodiments, is configured to provide a platform in which viewers may access multimedia content. The system is operable to present viewers with multimedia content where the multimedia content is divided in to segments. While a user is viewing or interacting with multimedia content, the user can submit one or more activities (e.g., comments, questions, replies, or reactions) using a graphical user interface. The system is operable to electronically link the activity provided by (e.g., submitted by, or associated with) the user with the particular segment of multimedia content in which the activity was captured by the system. The system is also configured to determine a sentiment score for particular multimedia content, one or more segments of the multimedia content, a viewer, a group, or an organization. The sentiment score may be related to a general mood (e.g.

Abstract: In one embodiment, a human interactive proof portal 140 may use a biometric input to determine whether a user is a standard user or a malicious actor. The human interactive proof portal 140 may receive an access request 302 for an online data service 122 from a user device 110. The human interactive proof portal 140 may send a proof challenge 304 to the user device 110 for presentation to a user. The human interactive proof portal 140 may receive from the user device 110 a proof response 306 having a biometric metadata description 430 based on a biometric input from the user.

Abstract: In one embodiment, a human interactive proof portal 140 may use a biometric input to determine whether a user is a standard user or a malicious actor. The human interactive proof portal 140 may receive an access request 302 for an online data service 122 from a user device 110. The human interactive proof portal 140 may send a proof challenge 304 to the user device 110 for presentation to a user. The human interactive proof portal 140 may receive from the user device 110 a proof response 306 having a biometric metadata description 430 based on a biometric input from the user.

Abstract: In one embodiment, a human interactive proof portal 140 may use a biometric input to determine whether a user is a standard user or a malicious actor. The human interactive proof portal 140 may receive an access request 302 for an online data service 122 from a user device 110. The human interactive proof portal 140 may send a proof challenge 304 to the user device 110 for presentation to a user. The human interactive proof portal 140 may receive from the user device 110 a proof response 306 having a biometric metadata description 430 based on a biometric input from the user.

Abstract: Detecting spam from metafeatures of an email message. As a part of detecting spam, the email message is accessed and a distribution of numerical values is accorded to a set of features of the email message. It is determined whether the distribution of numerical values accorded the set of features of the email message is consistent with that of spam. Access is provided to the determination of whether the email message has a distribution of numerical values accorded the set of features that is consistent with that of spam.

Abstract: Determining email filtering type based on sender classification. Incoming email is accessed and a sender of the incoming email is identified. The reputation of the sender of the incoming email is determined. An email sender classification is made based on the reputation of the sender. A determination of the type of filtering operations to be performed by an email filter on the email is made based on the classification. The parameters of the type of filtering operations to be performed are determined. The parameters of the type of filtering operations to be performed are provided to the email filter.

Abstract: A method for throttling inbound email messages in an enterprise email system including a plurality of inbound mail servers and at least one management server is provided. Policies defining message event limits for each unique sender are applied to messaging events from the unique sender at each inbound server. Feedback from each of the inbound mail servers to the management server is provided. When events from a unique sender exceed a threshold, as determined by the management server using the feedback, an alert is generated and a new, more restrictive policy for the unique sender is created. The more restrictive policy is broadcast the more restrictive policy to each of the inbound mail servers.

Abstract: Determining email filtering type based on sender classification. Incoming email is accessed and a sender of the incoming email is identified. The reputation of the sender of the incoming email is determined. An email sender classification is made based on the reputation of the sender. A determination of the type of filtering operations to be performed by an email filter on the email is made based on the classification. The parameters of the type of filtering operations to be performed are determined. The parameters of the type of filtering operations to be performed are provided to the email filter.

Abstract: Detecting spam from metafeatures of an email message. As a part of detecting spam, the email message is accessed and a distribution of numerical values is accorded to a set of features of the email message. It is determined whether the distribution of numerical values accorded the set of features of the email message is consistent with that of spam. Access is provided to the determination of whether the email message has a distribution of numerical values accorded the set of features that is consistent with that of spam.