Systems and methods for architecture embeddings for efficient dynamic synthetic data generation are disclosed. The disclosed systems and methods may include a system for generating synthetic data configured to perform operations. The operations may include retrieving a set of rules associated with a first data profile and generating, by executing a hyperparameter search, a plurality of hyperparameter sets for generative adversarial networks (GANs) that satisfy the set of rules. The operations may include generating mappings between the hyperparameter sets and the first data profile and storing the mappings in a hyperparameter library. The operations may include receiving a request for synthetic data, the request indicating a second data profile and selecting, from the mappings in the hyperparameter library, a hyperparameter set mapped to the second data profile. The operations may include building a GAN using the selected hyperparameter set and generating, using the GAN, a synthetic data set.

Systems and methods are provided for filtering vehicle search results for an upcoming trip are described. In one example, a vehicle access platform receives a search query to view vehicles for an upcoming trip. The vehicle access platform includes an adverse outcome prediction engine and an access controller. The adverse outcome prediction engine predicts an outcome of an upcoming trip based on at least one of user information, vehicle information, or trip information. The access controller controls access, by the vehicle access platform, to available vehicles for an upcoming trip by returning to the client device filtered search results for a subset of the available vehicles that does not include prevented vehicles.

Systems and methods can suggest applications and/or recipients for a user of a computing device to perform communication. The suggestions can be provided on a user interface for a user to select. A suggestion engine can use historical user interactions that include a recipient, a communication application used to communicate with the recipient, and contextual data to determine which application and/or recipients to suggest. The user interactions may occur in a variety of ways, e.g., after a content object has been selected within a host application, where a communication application is selected thereafter. Multiple models may be used to provide the suggestions, such as a pattern model or a cluster model that uses recent user interactions. As another example, a heuristics model may also be used.

Described are methods, systems and computer readable media for dynamic updating of query result displays.

A messaging system provides recommendations of content that account holders of the messaging system might be interested in engaging with. In order to determine what to recommend, the messaging system generates a model of account holder engagement behavior organized by type of engagement. The model parameters are trained on differences between expected engagement behavior based on past data and actual engagement behavior, and include a set of common factor matrices that are trained using data from more than on engagement type. As a consequence, engagement behavior of other account holders with respect to other types of engagements different than the one sought to be recommended serves as a partial basis for determining what engagements of the sought-after type are recommended.

A sequence of context based search verb and search terms are selected via either touch or voice selection in a mobile wireless device and then a human articulated voice query is expanded using a culture and a world intelligence dictionary for conducting more efficient searches. Focus groups are used for populating prior query search databases for storage in the mobile wireless device that are organized by context based search terms in a mobile wireless device for efficient search.

Systems and methods for range programming using a search query are disclosed. A method for range programming using a search query includes determining whether the search query comprises a range operation and identifying a target application to launch using a search application which is separate from the target application and based on the search query. A range of results to process with the target application can be identified using the search application and based on the search query. The results can be separately within the range in the context of the target application.

The present invention gives the methods and processes for automatically servicing user driven requests to find place-holder fields, fill them in with relevant data in a secure manner and securely communicating the data related thereto to the appropriate Android™ device and/or application. More particularly, it relates to the methods and processes for authenticated users to automatically obtain and use the correct filled-in data that allows them to access or use any of a multiple number of Android™ applications and/or services at any time.

A method is described in which a topic similarity score, a product similarity score and an operating system similarity score between an original post and each one of a plurality of previous posts are determined; an overall similarity score of the each one of the plurality of previous posts based on the topic similarity score, the product similarity score and the operating system similarity score is determined; and a recommendation of a top K number of the plurality of previous posts based on the overall similarity score of the each one of the plurality of previous posts is sent to a display device.

Described are methods, systems and computer readable media for performance logging of complex query operations.