Abstract: A computer implemented method and an apparatus for facilitating voice user interface (VUI) design are provided. The method comprises identifying a plurality of user intentions from user interaction data. The method further comprises associating each user intention with at least one feature from among a plurality of features. One or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data. Further, the method comprises computing a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions. A distance metric is computed for each pair of user intentions from among the pairs of user intentions. Furthermore, the method comprises generating a plurality of clusters based on the plurality of distance metrics. Each cluster comprises a set of user intentions. The method further comprises provisioning a VUI design recommendation based on the plurality of clusters.

Abstract: A computer implemented method and an apparatus for facilitating voice user interface (VUI) design are provided. The method comprises identifying a plurality of user intentions from user interaction data. The method further comprises associating each user intention with at least one feature from among a plurality of features. One or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data. Further, the method comprises computing a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions. A distance metric is computed for each pair of user intentions from among the pairs of user intentions. Furthermore, the method comprises generating a plurality of clusters based on the plurality of distance metrics. Each cluster comprises a set of user intentions. The method further comprises provisioning a VUI design recommendation based on the plurality of clusters.

Abstract: A computer implemented method and an apparatus for facilitating voice user interface (VUI) design are provided. The method comprises identifying a plurality of user intentions from user interaction data. The method further comprises associating each user intention with at least one feature from among a plurality of features. One or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data. Further, the method comprises computing a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions. A distance metric is computed for each pair of user intentions from among the pairs of user intentions. Furthermore, the method comprises generating a plurality of clusters based on the plurality of distance metrics. Each cluster comprises a set of user intentions. The method further comprises provisioning a VUI design recommendation based on the plurality of clusters.

Abstract: A computer-implemented method and an apparatus for automatic execution of at least one next action during a customer interaction receives current information related to a customer from at least one device associated with the customer. At least one next action is determined for the customer in response to the received current information. The at least one next action is determined based on the current information and stored past information corresponding to the customer. Further, an automatic execution of the at least one next action is effected on behalf of the customer if the at least one next action satisfies one or more predefined criteria. The at least one next action is executed on a device from among the at least one device associated with the customer.

Abstract: A computer implemented method and an apparatus for facilitating voice user interface (VUI) design are provided. The method comprises identifying a plurality of user intentions from user interaction data. The method further comprises associating each user intention with at least one feature from among a plurality of features. One or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data. Further, the method comprises computing a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions. A distance metric is computed for each pair of user intentions from among the pairs of user intentions. Furthermore, the method comprises generating a plurality of clusters based on the plurality of distance metrics. Each cluster comprises a set of user intentions. The method further comprises provisioning a VUI design recommendation based on the plurality of clusters.

Abstract: A method of cleaning a dust filter includes applying a negative electrical potential to a first electrode in a first area of a dust filter and applying a positive electrical potential to a second electrode disposed in a second area of the dust filter, wherein a voltage differential between the first and second electrodes is sufficient to cause electrostatic movement of dust from the first area to the second area. Then, the method further includes applying a negative electrical potential to the second electrode and applying a positive electrical potential to a third electrode disposed in a third area of the dust filter, wherein a voltage differential between the second and third electrodes is sufficient to cause electrostatic movement of dust from the second area to the third area, and wherein the first, second and third areas are generally linearly arranged.

Abstract: A computer system includes a computer chassis housing a processor and having a dust filter disposed in an airflow pathway through the computer chassis. A plurality of electrodes is disposed across an area of the dust filter, and a voltage source is provided having a negative terminal and a positive terminal. A controller selectively couples a first subset of electrodes to the negative terminal and selectively couples a second subset of electrodes to the positive terminal, wherein a voltage differential between the first subset of electrodes and the second subset of electrodes is sufficient to cause electrostatic movement of dust from an area of the dust filter near the first subset of electrodes to an area of the dust filter near the second subset of electrodes.