Systems and methods relating to a keyboard application on a mobile device are disclosed. The keyboard application generates a search query which it sends to a remote server. Data located based on the search query is received from the remote server. The data is associated with a record comprising a record identifier. The keyboard application associates a GUI element of the keyboard application with the record identifier. An input is received corresponding to selection of the GUI element. A unique tracking link is generated comprising a URI and an identifier associated with the selection of the GUI element. The URI is a deep link into an application that can execute on the mobile device. The unique tracking link is stored in a database in association with the record and user identifier and passed to the application to access content of the application.

Systems and methods relating to a keyboard application on a mobile device are disclosed. The keyboard application generates a search query which it sends to a remote server. Data located based on the search query is received from the remote server. The data is associated with a record comprising a record identifier. The keyboard application associates a GUI element of the keyboard application with the record identifier. An input is received corresponding to selection of the GUI element. A unique tracking link is generated comprising a URI and an identifier associated with the selection of the GUI element. The URI is a deep link into an application that can execute on the mobile device. The unique tracking link is stored in a database in association with the record and user identifier and passed to the application to access content of the application.

Data security and privacy are improved by a client providing a hashed version of collected data to a remote analysis service, and having the analysis service determine the relevancy of the data from the hashes before requesting the plaintext of the data. In one example, a browser plug-in obtains data which is divided into overlapping three-character sequences, and the sequences are hashed to produce a sequence of hashes. The sequence of hashes is sent by the plug-in to the remote service, which uses the hashes to determine if the associated data is relevant to the analysis performed by the remote service, without requiring access to the associated plaintext. After making the determination, the remote service may request that relevant data be provided to the service in plaintext form, while data that is not relevant need not be sent to the remote service.

Data security and privacy are improved by a client providing a hashed version of collected data to a remote analysis service, and having the analysis service determine the relevancy of the data from the hashes before requesting the plaintext of the data. In one example, a browser plug-in obtains data which is divided into overlapping three-character sequences, and the sequences are hashed to produce a sequence of hashes. The sequence of hashes is sent by the plug-in to the remote service, which uses the hashes to determine if the associated data is relevant to the analysis performed by the remote service, without requiring access to the associated plaintext. After making the determination, the remote service may request that relevant data be provided to the service in plaintext form, while data that is not relevant need not be sent to the remote service.

A method of executing a sequence of tasks includes receiving a natural language input indicative of the sequence of tasks. The natural language input may include a first task and a plurality of possible next tasks for the first task. The tasks may each be associated with a playback performance skeleton, indicative of a series of actions to be carried out on a web page. The series of action may have been generated, ahead of time, from a recorded performance of a similar task. The first task may be arranged to be performed. Then, based on a result of the performance of the first task, a successive task from among a plurality of possible next tasks associated with the result of performance of the first task may be selected. The successive task may then be arranged to be performed.

A method of executing a sequence of tasks includes receiving a natural language input indicative of the sequence of tasks. The natural language input may include a first task and a plurality of possible next tasks for the first task. The tasks may each be associated with a playback performance skeleton, indicative of a series of actions to be carried out on a web page. The series of action may have been generated, ahead of time, from a recorded performance of a similar task. The first task may be arranged to be performed. Then, based on a result of the performance of the first task, a successive task from among a plurality of possible next tasks associated with the result of performance of the first task may be selected. The successive task may then be arranged to be performed.

Apparatus and methods for sharing bookmarks are provided. Bookmarks may include queries to a chatbot or other interactive application. A server may include a shared bookmark controller and a personal computing device may include a user bookmark controller. A user may save a bookmark and share the bookmark with a chosen recipient. The user bookmark controller may send the bookmark and the identity of the recipient to the shared bookmark controller. The shared bookmark controller may then send the bookmark to the recipient and record whether the recipient saves or rejects the bookmark. Bookmarks may be collated and categorized into groups, and entire groups may be shared.

Apparatus and methods for sharing bookmarks are provided. Bookmarks may include queries to a chatbot or other interactive application. A server may include a shared bookmark controller and a personal computing device may include a user bookmark controller. A user may save a bookmark and share the bookmark with a chosen recipient. The user bookmark controller may send the bookmark and the identity of the recipient to the shared bookmark controller. The shared bookmark controller may then send the bookmark to the recipient and record whether the recipient saves or rejects the bookmark. Bookmarks may be collated and categorized into groups, and entire groups may be shared.

Computer-implemented techniques for enhanced tagging of natural language queries that are initially segmented and tagged by a named entity recognition system. By doing so, enhanced tagging of a natural language query that represents a deeper understanding of the query is provided. The enhanced tagging improves the operation of search engines that use the enhanced tags by enabling the search engine to identify and return more relevant search results in answers to natural language queries.

The present invention is a system and user interface for a native toolbar that sits within a notification or control center of an operating system (OS) and looks native to the device. The native toolbar allows the user to see the notification at the top of their screen or display and is accessible prior to the user unlocking their device and through the notification center within the OS. The native toolbar provides access to frequently used applications, utility applications, a news feed as well as a search function by sending requests and receiving data from a platform that provides the native toolbar with data related to the device being used by the user to allow the native toolbar to appear native to the device.