In one embodiment, a method includes receiving a user request from a first user at a client system, wherein the user request is associated with a semantic-intent, identifying dialog-intents associated with the user request by the client system based on the semantic-intent and context information associated with the user request, wherein each dialog-intent is a sub-intent of the semantic-intent; determining agents for executing tasks associated with the dialog-intents by the client system, and presenting information returned from the agents responsive to executing the tasks at the client system.

The present teaching relates to methods, systems, and programming for information retrieval. A search result associated with a search query is obtained and provided to a user. Upon receiving a filtering request from the user, the search result is filtered based on the filtering request to generate an updated search result. The updated search result is provided to the user in response to the filtering request.

A system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving information from a user interface (UI) for a data request; and assigning identification information to the data request. The processor is further configured to execute the instructions for storing the data request in association with the identification information. The processor is further configured to execute the instructions for transmitting the data request to a vehicle. The processor is further configured to execute the instructions for receiving data from a source the vehicle in response to the transmitted data request; and notifying a user of the received data.

A method includes receiving a search query including clause text to be searched and executing the search query against the database. The method includes receiving a set of results, the set of results including documents that include a version of the clause text, and normalizing the set of search results. The method includes grouping the normalized set of search results into one or more groups of results, each group including documents containing a version of the clause text that is semantically equivalent to each other document in the group. The method includes receiving an indication of a selection of a particular group from among the one or more groups of results and causing display of at least a portion of the particular version of the clause text.

A query term analytics system receives a search query from a user device. The system has an engine enhanced with the ability to track query terms using in-memory counters and leveraging an inverted index of content stored in a content repository. The search query is run on the content and, contemporaneously the engine performs a query term analysis on the query terms to produce query term analytics. The query term analysis includes an impact analysis that determines an impact of removing a keyword or keyword criteria from the search query. A compressed bitset can be used to indicate whether a keyword is in the content. The engine can accumulate statistics using the in-memory counters while the search query is being processed. Using the statistics thus accumulated, a query term analytics report is generated and provided to the user device for presentation on the user device.

The present disclosure relates to generating additional insight data for search results. Individual search results may be obtained and used to generate a parse tree for the search result data. A dependency graph may then be generated using the parse tree, where the dependency graph includes a root node that corresponds to a query parameter. A scoring or weighting algorithm is applied to the dependency graph to generate and aggregate scores for nodes in the dependency graph relative to the root node. The generated scores or weights are used to generate insight data for the search results.

Searching information includes: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data belongs to a respective one of the plurality of categories; determining the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; selecting a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; searching in the selected category for a search result that corresponds to the current query data; and returning the search result.

Embodiments include method, systems and computer program products for managing structuring of large sets of unstructured data. In some embodiments, a search query may be received from a user via a graphical user interface (GUI). The search query may be parsed to identify a data aspect and a first value. An aspect-value pair may be generated using the data aspect and the first value. A data asset may be generated by associating a type structure to the unstructured data comprising a second value, wherein the type structure comprises the data aspect and the second value. A set of search results may be generated using the first value, wherein the set of search results comprises at least one data asset that matches the first value. Presentation of the set of search results may be facilitated, where the set of search results corresponds to the search query and comprises the data aspect.

Methods, systems, and apparatus for processing image content items. In one aspect, a method includes receiving a set of search query suggestions for a query, each search query suggestion being based on the search query; for each search query suggestion, receiving data identifying a respective set of resources determined to be responsive to the search query suggestion; for each respective set of resources, generating a representative resource set depicting a subset of the respective set of resources; providing to the user device, in response the search query, a search results page resource including instructions that cause the user device to render a search results page that includes: a set of search results that identify resources that are determined to be responsive to the search query; for each search query suggestion, a search query suggestion grouping including: data describing the search query suggestion, and data depicting the representative resource set.

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.