Abstract: In one embodiment, a method includes receiving a user query inputted on a head-mounted device from the head-mounted device, wherein the user query corresponds to multiple dialog-intents, executing multiple tasks corresponding to the multiple dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the multiple tasks, wherein the stitching model combines the two or more of the execution results based on natural language processing, and wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and sending instructions to the head-mounted device for presenting the multi-perspective response on the head-mounted device.

Abstract: In one embodiment, a method includes receiving a user query inputted on a head-mounted device from the head-mounted device, wherein the user query corresponds to multiple dialog-intents, executing multiple tasks corresponding to the multiple dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the multiple tasks, wherein the stitching model combines the two or more of the execution results based on natural language processing, and wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and sending instructions to the head-mounted device for presenting the multi-perspective response on the head-mounted device.

Abstract: In one embodiment, a method includes receiving a user query associated with dialog-intents at a client system, executing tasks corresponding to the dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the tasks, wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and presenting the multi-perspective response at the client system.

Abstract: In one embodiment, a method includes receiving a user query inputted on a head-mounted device from the head-mounted device, wherein the user query corresponds to multiple dialog-intents, executing multiple tasks corresponding to the multiple dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the multiple tasks, wherein the stitching model combines the two or more of the execution results based on natural language processing, and wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and sending instructions to the head-mounted device for presenting the multi-perspective response on the head-mounted device.

Abstract: In one embodiment, a method includes receiving a user query from a client system associated with a first user, determining a plurality of dialog-intents, each being associated with a particular agent of a plurality of agents, executing a plurality of tasks corresponding to the user query via the plurality of agents corresponding to the plurality of dialog-intents, receiving a plurality of execution results corresponding to the plurality of tasks from the plurality of agents, respectively, selecting two or more of the plurality of execution results for combination, generating a multi-perspective response based on the selected execution results by a stitching model, wherein the multi-perspective response comprises a natural-language response combining the selected execution results, and sending instructions for presenting the multi-perspective response to the first user to the client system in response to the user query.

Abstract: In one embodiment, a method includes receiving a user query associated with dialog-intents at a client system, executing tasks corresponding to the dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the tasks, wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and presenting the multi-perspective response at the client system.

Abstract: In one embodiment, a method includes receiving a user query from a client system associated with a first user, determining a plurality of dialog-intents, each being associated with a particular agent of a plurality of agents, executing a plurality of tasks corresponding to the user query via the plurality of agents corresponding to the plurality of dialog-intents, receiving a plurality of execution results corresponding to the plurality of tasks from the plurality of agents, respectively, selecting two or more of the plurality of execution results for combination, generating a multi-perspective response based on the selected execution results by a stitching model, wherein the multi-perspective response comprises a natural-language response combining the selected execution results, and sending instructions for presenting the multi-perspective response to the first user to the client system in response to the user query.

Abstract: In one embodiment, a method includes receiving a first audio input from a user requesting access to information or a service, sending a request for the information or service to an authentication server, where the request includes first authentication information based on the first audio input and further includes a user identifier associated with the user, receiving a second audio input from a client system of the user, where the second audio input includes a first authentication code to be compared to a second authentication code generated by the authentication server, sending second authentication information based on the second audio input and the user identifier to the authentication server for verification, receiving, from the authentication server, an indication of whether the user is successfully authenticated based on the second authentication information, and providing, to the user, access to the information or service when the user is successfully authenticated.

Abstract: A set of search results associated with a query is received, the set of search results including for each of search result in at least a subset of the set an indication of an evidence based at least in part on which the search result was included in the set of search results. A search result display interface is generated in which at least a displayed subset of search results are displayed, the search result display interface include for each of at least a subset of the displayed search results an indication of the corresponding evidence based on which that search result was included in the set of search results.

Abstract: Computer-implemented methods and systems are disclosed for organizing user reviews, especially computer app reviews, into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.

Abstract: Computer-implemented methods and systems are disclosed for organizing user reviews, especially computer app reviews, into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.

Abstract: A computer-implemented method and system for quantifying and tracking software application quality based on aggregated user reviews.

Abstract: A set of search results associated with a query is received, the set of search results including for each of search result in at least a subset of the set an indication of an evidence based at least in part on which the search result was included in the set of search results. A search result display interface is generated in which at least a displayed subset of search results are displayed, the search result display interface include for each of at least a subset of the displayed search results an indication of the corresponding evidence based on which that search result was included in the set of search results.

Abstract: A user statement associated with a query is received. The user statement is parsed to determine a set of interpretations matching the user statement. Based at least in part on the set of interpretations the query is determined to be a candidate for iterative improvement. The query is iteratively improved at least in part by prompting a user associated with the user statement to provide a further input.

Abstract: A computer-implemented method and system for quantifying and tracking software application quality based on aggregated user reviews.

Abstract: Computer-implemented methods and systems are disclosed for organizing user reviews, especially computer app reviews, into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.