Nutritional information of a recipe is gathered to determine a nutritional value table of a food recipe. A computing device may extract and analyze unstructured text of a food recipe to obtain a plurality of ingredients and a quantity of the plurality of ingredients. The computing device may access dietary preferences of a user. The nutritional information of the food recipe may be calculated using the nutritional value of each of the ingredients and complied into a nutritional value table. The recipe may be determined if the recipe corresponds with the dietary preferences of the user. If a recipe does not correspond with the dietary preferences, then an ingredient causes the recipe to not correspond with the dietary preferences is removed from the recipe creating an altered recipe. The nutritional value table of the altered recipe is displayed to the user.

A method and system operable for: receiving a search query including search terms; using a machine learning module, selecting features of the search terms and mapping an association between the search terms and a domain object, thereby generating a domain object classification; tagging the domain object with the domain object classification; and using the domain object tagged with the domain object classification to conduct a subsequent search. Conducting the subsequent search includes: receiving a subsequent search query including subsequent search terms; tokenizing the subsequent search terms; finding permutations of the tokenized subsequent search terms; matching the subsequent search terms to the domain object tagged with the domain object classification; and displaying subsequent search results via a user interface.

Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.

Described are methods, systems and computer readable media for data source refreshing.

Techniques include receiving a search query from a user device, determining native applications that are installed on the user device and associated with user accounts, and identifying app state records based on the search query and the applications. Each app state record includes an application access mechanism (AAM) and application state information (ASI). The AAM references a native application and indicates operations for the application to perform. The ASI describes a state of the native application after the application has performed the operations. Identifying the app state records based on the native applications includes determining that each record includes an AAM that references one of the applications. The techniques also include selecting AAMs from the identified app state records and transmitting the AAMs to the user device. Other techniques include generating result scores for app state records identified based on the search query using the native applications.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information for a displayed resource that includes an image. In one aspect, a method includes providing, by a user device to a contextual information server, a query-independent request for contextual information relevant to an active resource displayed in an application environment on the user device, wherein the request specifies content of the active resource and further specifies that the active resource displayed on the user device includes an image, but does not include the image in the request, receiving a request for the image from the contextual information server, providing the image to the contextual information server, receiving a user interface element that includes contextual information regarding the image, and displaying the user interface element on the user device with the active resource.

User attribute data associated with a user may be used to resolve unresolved entities in connection with the performance of computer-based actions, e.g., actions resulting from action queries generated based at least in part on content being accessed on a computing device.

Techniques of federation of data during query time are disclosed herein. One example technique includes upon receiving an indication of interaction of a file by a user of a tenant, determining whether automatic replication of the file to a user shard corresponding to the user is permitted according to a company policy or a legal requirement, the user shard being in a second geographic region. The example technique can then include when automatic replication of the file is not permitted, storing the file in a tenant shard corresponding to the tenant in a network storage in the first geographic region and instead of replicating the file to the user shard in the second geographic region, creating, in the user shard in the second geographic region, a file reference that is a pointer to the file stored in the tenant shard in the network storage in the first geographic region.

The present disclosure relates to a system, method and non-transitory computer readable medium. The system includes at least one computer-readable storage medium including a set of instructions and at least one processor in communication with the at least one computer-readable storage medium. When executing the set of instructions, the at least one processor is directed to: receive a triggering event in the absence of input from a user terminal associated with a user; obtain one or more candidate destinations based on the triggering event; obtain a trained ranking model; determine a ranking result of the one or more candidate destinations based on the trained ranking model; and transmit the ranking result to the user terminal in response to the triggering event.

According to one embodiment, in response to a search query received from a client, a search is performed in a content database to identify a list of one or more content items based on one or more keywords of the search query. A first search is performed in an image store to identify a first set of one or more images using a first image searching method. A second search is performed in the image store to identify a second set of one or more images using a second image searching method that is different than the first image searching method. A search result is transmitted to the client, the search result having at least a portion of the content items to the client. Each content item is associated with one of the images selected from the first set of images or the second set of images.