Abstract: A computing system is described, where the computing system includes a processor and memory storing instructions that, when executed by the processor, cause the processor to perform several acts. The acts include receiving a query from an application executing on a client computing device that is in network communication with the computing system. The acts also include searching a computer-readable index of items based upon the query, identifying an item based upon the searching of the computer-readable index, transmitting the query to a computer-implemented model, and obtaining content generated by the computer-implemented model, where the computer-implemented model generated the content based upon the query. The acts further include returning at least one of the item or the content to the client computing device for presentment by way of the application executing on the client computing device.

Abstract: An image selector selects images for visual similarity in some aspects and visual distinction in other aspects. A user submits a query to a search engine. Images identified by the search engine as relevant to the query are clustered into clusters having at least one similar attribute. Selection mechanisms organize images selected from each cluster based on a similarity metric into image rows. A selection metric is calculated for each image row and a row to be displayed is selected based on the selection metric. In some embodiments, images representative of a subset of image rows are displayed to a user and responsive to selection of a representative image, the corresponding image row is displayed.

Abstract: The present disclosure relates to systems, devices, and methods for a visual exploration of search engine results. The systems, devices, and methods may present, in response to receiving the search engine results for a query to perform a task, a search result webpage with a cascading waterfall layout that includes a plurality of images from a plurality of webpages included in the search results. The search result webpage may also present, adjacent to the plurality of images, structured data corresponding to a selected image from the plurality of images where the structured data includes details from the webpage to complete the task.

Abstract: The present disclosure relates to systems, devices, and methods for a visual exploration of search engine results. The systems, devices, and methods may present, in response to receiving the search engine results for a query to perform a task, a search result webpage with a cascading waterfall layout that includes a plurality of images from a plurality of webpages included in the search results. The search result webpage may also present, adjacent to the plurality of images, structured data corresponding to a selected image from the plurality of images where the structured data includes details from the webpage to complete the task.

Abstract: An image selector selects images for visual similarity in some aspects and visual distinction in other aspects. A user submits a query to a search engine. Images identified by the search engine as relevant to the query are clustered into clusters having at least one similar attribute. Selection mechanisms organize images selected from each cluster based on a similarity metric into image rows. A selection metric is calculated for each image row and a row to be displayed is selected based on the selection metric. In some embodiments, images representative of a subset of image rows are displayed to a user and responsive to selection of a representative image, the corresponding image row is displayed.

Abstract: An image selector selects images for visual similarity in some aspects and visual distinction in other aspects. A user submits a query to a search engine. Images identified by the search engine as relevant to the query are clustered into clusters having at least one similar attribute. Selection mechanisms organize images selected from each cluster based on a similarity metric into image rows. A selection metric is calculated for each image row and a row to be displayed is selected based on the selection metric. In some embodiments, images representative of a subset of image rows are displayed to a user and responsive to selection of a representative image, the corresponding image row is displayed.

Abstract: An image selector selects images for visual similarity in some aspects and visual distinction in other aspects. A user submits a query to a search engine. Images identified by the search engine as relevant to the query are clustered into clusters having at least one similar attribute. Selection mechanisms organize images selected from each cluster based on a similarity metric into image rows. A selection metric is calculated for each image row and a row to be displayed is selected based on the selection metric. In some embodiments, images representative of a subset of image rows are displayed to a user and responsive to selection of a representative image, the corresponding image row is displayed.

Abstract: This document relates to using input images to selectively trigger skills. For example, the input images can be analyzed using a machine learning model, which can output image metadata characterizing content of the input images. Different skills can be selectively triggered based on the image metadata. For example, a given skill can register to be triggered when the image metadata matches one or more triggering conditions specified by that skill.

Abstract: This document relates to using input images to selectively trigger skills. For example, the input images can be analyzed using a machine learning model, which can output image metadata characterizing content of the input images. Different skills can be selectively triggered based on the image metadata. For example, a given skill can register to be triggered when the image metadata matches one or more triggering conditions specified by that skill.

Abstract: The technology described herein provides an efficient mechanism for quickly analyzing huge amounts of media content to find media content (hereafter “content” or “media content”) that is relevant to a user. The technology analyzes features of a curator to classify curators by interest and/or find curators with similar content recommendations. The curator data can be used to make curator recommendations to users based on the user's interests. The technology described herein collects curator data from multiple content sites and analyzes the data to identify curators that recommend similar content on different content sites.

Abstract: Systems, methods, computer storage media, and user interfaces are provided for non-committal intent preview, disambiguation, and refinement of a search. A search prefix comprising one or more characters associated with an unexecuted search query is received. One or more intent suggestions are suggested to a user. For each of the one or more intent suggestions, one or more entity identifications associated with each of the one or more intent suggestions are received. Metadata corresponding to at least one entity associated with the one or more entity identifications is retrieved from an entity data store. Without retrieving search results for the unexecuted search query, an aggregated intent preview based on the retrieved metadata corresponding to the at least one entity is provided.

Abstract: A user query may be evaluated to provide a result set. In case the results do not reflect the user's intent, the device may provide recourse options for adjusting the query in a manner that yields more desirable results, e.g., a suggestion at the top of the result set for a different spelling, or recommendations at the end of the results set for additional query techniques that may yield more accurate results. However, such presentation of recourse options may clutter the user interface and/or go unnoticed by the user. Instead, an adjusted query may be identified with an interpreted probability of reflecting the intent of the query. An adjustment option describing the adjusted query may be inserted into the result set, between a higher-probability first result and a lower-probability second result. Selection of the adjustment option may cause the adjusted query to be evaluated on behalf of the user.

Abstract: Among other things, one or more techniques and/or systems are provided for displaying a related content view within a search interface. That is, a search interface, such as a search application, may provide search results that are relevant to a query submitted through the search interface. For example, a main search engine results view comprising one or more search results of the query may be presented within the search interface. Responsive to a semantic zoom operation (e.g., a touch gesture), the search interface may be transitioned from the main search engine results view to a related content view comprising related content that corresponds to the query and/or a (e.g., supplemental) search result for the query. In this way, the user may explore supplemental content, such as query suggestions, images, entity descriptions/profiles, videos, and/or other content, that may be related to a query submitted by the user.

Abstract: The technology described herein provides an efficient mechanism for quickly analyzing huge amounts of media content to find media content (hereafter “content” or “media content”) that is relevant to a user. The technology analyzes features of a curator to classify curators by interest and/or find curators with similar content recommendations. The curator data can be used to make curator recommendations to users based on the user's interests. The technology described herein collects curator data from multiple content sites and analyzes the data to identify curators that recommend similar content on different content sites.

Abstract: A user query may be evaluated to provide a result set. In case the results do not reflect the user's intent, the device may provide recourse options for adjusting the query in a manner that yields more desirable results, e.g., a suggestion at the top of the result set for a different spelling, or recommendations at the end of the results set for additional query techniques that may yield more accurate results. However, such presentation of recourse options may clutter the user interface and/or go unnoticed by the user. Instead, an adjusted query may be identified with an interpreted probability of reflecting the intent of the query. An adjustment option describing the adjusted query may be inserted into the result set, between a higher-probability first result and a lower-probability second result. Selection of the adjustment option may cause the adjusted query to be evaluated on behalf of the user.

Abstract: Among other things, one or more techniques and/or systems are provided for displaying a related content view within a search interface. That is, a search interface, such as a search application, may provide search results that are relevant to a query submitted through the search interface. For example, a main search engine results view comprising one or more search results of the query may be presented within the search interface. Responsive to a semantic zoom operation (e.g., a touch gesture), the search interface may be transitioned from the main search engine results view to a related content view comprising related content that corresponds to the query and/or a (e.g., supplemental) search result for the query. In this way, the user may explore supplemental content, such as query suggestions, images, entity descriptions/profiles, videos, and/or other content, that may be related to a query submitted by the user.

Abstract: A query processing system (QPS) for generating query suggestions to a user by matching the user's input query against a set of query-detection grammars defined by respective rule modules, and with respect to a structured knowledge base. In response to the matching operation, the QPS may generate a set of synthetic query suggestions to the user, representing refinements of the user's input query. The QPS can also present a refinement tool that conveys refinement options to the user. The QPS may also present one or more preview items to the user upon the user's selection of one of the synthetic query suggestions. Each synthetic query suggestion and each preview item is guaranteed to having a matching counterpart information item in the structured knowledge base.

Abstract: Among other things, one or more techniques and/or systems are provided for displaying a related content view within a search interface. That is, a search interface, such as a search application, may provide search results that are relevant to a query submitted through the search interface. For example, a main search engine results view comprising one or more search results of the query may be presented within the search interface. Responsive to a semantic zoom operation (e.g., a touch gesture), the search interface may be transitioned from the main search engine results view to a related content view comprising related content that corresponds to the query and/or a (e.g., supplemental) search result for the query. In this way, the user may explore supplemental content, such as query suggestions, images, entity descriptions/profiles, videos, and/or other content, that may be related to a query submitted by the user.

Abstract: Systems, computing devices, and methods for efficiently surfacing information relating to an item of content to a user are presented. A process executing on a user's computing device monitors for a user indication to obtain related information regarding an item of content. Upon receiving the indication, the process formulates a request for the related information and submits the request to a content aggregation service. The content aggregation service identifies the content and extracts a plurality of attribute/value pairs from an aggregated content store regarding the subject matter of the item of content. The extracted information is returned to the requesting process as the related information, which is then presented to the user.

Abstract: Systems, methods and computer-readable storage media are provided for building long queries utilizing query suggestions and query suggestion entities. Upon receiving at least a portion of a search query, a query suggestion is provided. Upon receiving a selection of the query suggestion, the search query is updated. Prior to executing the updated search query, a user is permitted to edit the updated search query. Query suggestions may be presented in association with query suggestion entity representations. A query suggestion entity is a separate and distinct entity that may initiate performance of an action upon selection. A query suggestion entity representation may comprise various features and information associated with the search query.