In one embodiment, a method includes receiving an initial input in a first modality from a first user from a client system associated with the first user, determining one or more intents corresponding to the initial input by an intent-understanding module, generating one or more candidate continuation-inputs based on the one or more intents, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, and wherein the candidate modalities are different from the first modality, and sending instructions for presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs to the client system.

In one embodiment, a method includes by a client system associated with a user, receiving, at the client system, a user input from the user, parsing, by the client system, the first user input to identify a request to execute a function to be performed by an assistant system of several assistant systems associated with the client system, determining whether the user is authorized to access the assistant system by comparing a voiceprint of the user to several voiceprints stored on the client system, sending, from the client system to the assistant system in response to determining the user is authorized to access the assistant system, a request to set an assistant xbot of the assistant system into a listening mode, and receiving, at the client system from the assistant system, an indication that the assistant xbot is in listening mode.

In one embodiment, a method includes receiving a user query from a client system associated with a first user, executing tasks via agents which return responses, each response comprising information items, analyzing the responses to determine slots, each slot corresponding to one of the information items, determining compositional sub-goals for each response, wherein each compositional sub-goal indicates a semantic-intent of the respective response, generating compositional fragments by a compositional natural-language generation (NLG) model, each compositional fragment comprising a partial natural-language response, determining a top-level compositional goal, generating a communication content by the compositional NLG model, wherein the communication content comprises a complete natural-language response to the user query, and wherein the complete natural-language response is based on the partial natural-language responses of the compositional fragments, and sending instructions for presenting the communication content to the client system.

In one embodiment, a method includes, by one or more computing devices, receiving, from a client system associated with a first user of an online social network, an indication of a trigger action by the first user, wherein the trigger action is associated with a user activity, determining a first user context based on the trigger action, accessing one or more recommended content objects associated with the first user context, calculating a recommendation score for each recommended content object, generating one or more content suggestions comprising one of the one or more recommended content objects, respectively, each content suggestion corresponding to a recommended content object having a recommendation score above a threshold recommendation score, and sending, to the client system in response to the trigger action, instructions for presenting one or more of the content suggestions to the first user.

A computer-implemented method and system for prerendering web content are described. A computing device determines a navigation event within a web browser based at least in part on a prerender tag embedded within a web page. The prerender tag includes a ranking value used to rank links to prerender and a time parameter. The computing device requests content associated with the navigation event and prerenders the content associated with the navigation event in an alternate instance of the web browser that is hidden from a user of the web browser. The computing device determines whether the user has selected the navigation event within a time period based on the time parameter associated with the prerender tag. The alternate instance of the web browser containing the prerendered content in a current user instance of the web browser may be displayed. The computing device may discard the prerendered content.

Embodiments of the present disclosure are directed towards techniques and configurations for an apparatus configured to provide I/O classification information in a distributed cloud storage system, in accordance with some embodiments. In one embodiment, the apparatus may include a partition scanner, to scan an image of a virtual disk associated with the storage system, to determine one or more partitions associated with the virtual disk; a file system scanner coupled with the partition scanner, to identify file systems associated with the determined partitions, to access files stored in the identified file systems; and I/O classifier coupled with the file system scanner, to generate I/O classification information associated with the accessed files. The I/O classification information provides characteristics of input-output operations performed on the virtual disk. Other embodiments may be described and/or claimed.

In one embodiment, a method includes receiving a user input by the first user from a client system associated with a first user, parsing the user input to identify one or more n-grams associated with the user input, accessing a user profile associated with the first user, wherein the user profile is stored in a first data store, accessing ontology data based on the one or more identified n-grams from one or more information graphs, wherein the one or more information graphs are stored in one or more second data stores, respectively, determining contextual information associated with the user input, generating semantic information by aggregating the user profile, ontology data, and contextual information, generating a feature representation for the identified one or more n-grams based on the semantic information, and resolving one or more entities associated with the one or more n-grams based on the feature representation.

In one embodiment, a method includes receiving an indication of a trigger action by a first user, wherein the trigger action is associated with a priming content object, identifying one or more related content objects associated with the priming content object, generating a first feature vector representing the priming content object, the one or more related content objects, and profile information of the first user, accessing a plurality of second feature vectors representing a plurality of recommended content objects, respectively, selecting one or more of the recommended content objects based on comparisons between the first feature vector and the respective second feature vectors representing the recommended content objects, and sending, to a client system in response to the trigger action, instructions for presenting one or more content suggestions to the first user, wherein each content suggestion comprises one of the selected recommended content objects.

In one embodiment, a method includes, by one or more computing systems, receiving, from a client system associated with a user, a request from the user for a content digest from an online social network, retrieving one or more content objects associated with the online social network that are accessible by the user, selecting one or more of the retrieved content objects to incorporate into the content digest based on their identified categories, generating one or more slides for the one or more selected content objects, respectively, wherein each slide comprises a summary and representative image of the respective selected content object, sending, to the client system of the user, instructions for presenting the content digest responsive to the request from the user, wherein the content digest comprises the one or more slides.

In one embodiment, a method includes, by one or more computing systems, receiving, from a client system associated with a user, a request for a summary of user communications from a content source, accessing a plurality of user communications from the content source, identifying a plurality of segments associated with the plurality of user communications, wherein the plurality of segments is associated with a plurality of topics, respectively, calculating, for each segment of the plurality of segments, a user interest score for the segment, selecting one or more of the segments for summarization based on their user interest scores, generating one or more personalized summaries of the one or more selected segments, wherein the personalization of the summary is based on the user profile of the user and sending, to the client system, instructions to present the personalized summaries to the user responsive to the request.