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: Various embodiments described herein are directed to providing cohesive related searches with dynamically generated titles. One or more related queries are retrieved for a search query and are grouped into one or more groupings based on a predefined relationship between the search query and a subset of the related queries. A dynamically generated first title is retrieved for a first grouping from the predefined relationship between the search query and the related queries in first grouping. The first title and the related queries in the first grouping are presented. A selection pivot is provided to select a second grouping, where the selection pivot contains an indicator of the predefined relationship between the search query and the related queries in the second grouping. Upon selecting the second grouping, a dynamically generated second title is retrieved, and the second title and the related queries in the second grouping are presented.

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: The technology described herein provides an efficient mechanism for generating image tags. Image data from a plurality of sources may be analyzed to identify relevant text items from the aggregated data. The relevant text items may be keywords describing a subject of an image, an entity of an image, a location of an image, or the like. From the aggregated image data, one or more image tags may be generated and stored as an offline dataset with an image identifier. Upon detecting a prompt such as a user issuing a search query for an image, the image identifier is used to perform a look up of the image and associated image tags to be 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: Various embodiments described herein are directed to providing cohesive related searches with dynamically generated titles. One or more related queries are retrieved for a search query and are grouped into one or more groupings based on a predefined relationship between the search query and a subset of the related queries. A dynamically generated first title is retrieved for a first grouping from the predefined relationship between the search query and the related queries in first grouping. The first title and the related queries in the first grouping are presented. A selection pivot is provided to select a second grouping, where the selection pivot contains an indicator of the predefined relationship between the search query and the related queries in the second grouping. Upon selecting the second grouping, a dynamically generated second title is retrieved, and the second title and the related queries in the second grouping are presented.

Abstract: The technology described herein provides an efficient mechanism for generating image tags. Image data from a plurality of sources may be analyzed to identify relevant text items from the aggregated data. The relevant text items may be keywords describing a subject of an image, an entity of an image, a location of an image, or the like. From the aggregated image data, one or more image tags may be generated and stored as an offline dataset with an image identifier. Upon detecting a prompt such as a user issuing a search query for an image, the image identifier is used to perform a look up of the image and associated image tags to be provided.

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: 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.

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: Monetization is provided for a process of non-committal intent preview, disambiguation, and refinement of a search. Based on a non-committal intent preview, disambiguation, and refinement process, a user intent may be determined. The user intent may represent an action a user may intend to perform corresponding with a particular entity. An advertisement may be selected based on the identified user intent. The advertisement may then be communicated to a user device for inclusion in a search intent preview for presentation to a user prior to execution of a search query.

Abstract: Systems, methods, computer storage media, and user interfaces are provided for providing social entity previews during query formulation. A search interaction is received from a user. The search interaction may comprise an interaction with a device or application or a learned intent based on a previous interaction. An entity intent of the search interaction is identified. The entity intent corresponds to a social entity. Social updates are retrieved from a plurality of social networks associated with the social entity. The social updates may be aggregated and ranked for the social entity. A social entity preview is provided for the social entity. The social entity preview may comprise metadata corresponding to the social entity and associated with the social updates or social networks.

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: 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.

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.