Abstract: Method and apparatus for applying reputation scoring to participants in a group chat session in a computer network. The group chat session is displayed in the form of a visually perceptible conversation arranged as a sequence of communications by a group of users of network accessible devices. Each user has an associated reputation score generated responsive to at least one characteristic of a previous communication by the associated user. Each network accessible device displays each communication using a visual indicia selected in relation to a magnitude of the associated reputation score for the user who generated the communication. The visible indica can take a variety of forms such as different sizes of comments, different color schemes, different fonts, and so on.

Abstract: Method and apparatus for training an artificial neural network circuit. In some embodiments, a set of possible inputs to the artificial neural network is identified. A first similarity measure between each of the possible inputs and a known output relevant to a task for which the artificial neural network is to be trained is generated. A second similarity measure is subsequently generated based on the first similarity measure. A set of relevant inputs from the set of possible inputs is selected based on the second similarity measure, and the set of relevant inputs is used to train the artificial neural network. The first and second similarity measures may be generated using a cosine similarity function based on individual inputs from the set of possible inputs. A sorting function can be used based on magnitude of a combined similarity function to select those relevant inputs above a selected threshold.

Abstract: Method and apparatus for applying reputation scoring to participants in a group chat session in a computer network. The group chat session is displayed in the form of a visually perceptible conversation arranged as a sequence of communications by a group of users of network accessible devices. Each user has an associated reputation score generated responsive to at least one characteristic of a previous communication by the associated user. Each network accessible device displays each communication using a visual indicia selected in relation to a magnitude of the associated reputation score for the user who generated the communication. The visible indica can take a variety of forms such as different sizes of comments, different color schemes, different fonts, and so on.

Abstract: Method and apparatus for applying reputation scoring to participants in a group chat session in a computer network. The group chat session is displayed in the form of a visually perceptible conversation arranged as a sequence of communications by a group of users of network accessible devices. Each user has an associated reputation score generated responsive to at least one characteristic of a previous communication by the associated user. Each network accessible device displays each communication using a visual indicia selected in relation to a magnitude of the associated reputation score for the user who generated the communication. The visible indica can take a variety of forms such as different sizes of comments, different color schemes, different fonts, and so on.

Abstract: Method and apparatus for applying reputation scoring to participants in a group chat session in a computer network. The group chat session is displayed in the form of a visually perceptible conversation arranged as a sequence of communications by a group of users of network accessible devices. Each user has an associated reputation score generated responsive to at least one characteristic of a previous communication by the associated user. Each network accessible device displays each communication using a visual indicia selected in relation to a magnitude of the associated reputation score for the user who generated the communication. The visible indica can take a variety of forms such as different sizes of comments, different color schemes, different fonts, and so on.